Ai Platform Engineer Infrastructure At Brain Co San Francisco Bay Area jobs in San Francisco – Browse 12,185 openings on RoboApply Jobs
Ai Platform Engineer Infrastructure At Brain Co San Francisco Bay Area jobs in San Francisco
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AI Platform Engineer - Infrastructure at Brain Co. | San Francisco Bay Area
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Experience Level
Mid to Senior
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What You’ll Work On:Design and scale infrastructure using Kubernetes and Terraform across diverse customer environments. Establish standards for networking, security, CI/CD, and multi-region deployments. Develop and maintain metrics, logging, tracing, dashboards, and Service Level Objectives (SLOs). Analyze and optimize performance across distributed systems and AI workloads. Support high-performance inference, data pipelines, and large-scale backend services. Ensure systems can scale reliably under rapidly increasing and unpredictable workloads. Collaborate with technical leaders to refine architecture and mentor fellow engineers. You Might Be a Great Fit If You…Possess over 5 years of experience in building large-scale backend or infrastructure systems. Are proficient in Kubernetes, Terraform, cloud networking, orchestration, and observability tools. Have a strong background in distributed systems, performance optimization, and incident response. Excel in collaborating with customers and teams to deliver dependable solutions. Thrive in fast-paced environments and set high engineering standards. Enjoy embracing ambiguity, taking ownership, and tackling complex infrastructure challenges.
About the job
About Brain Co.
At Brain Co., we are at the forefront of artificial intelligence, developing innovative systems that facilitate mission-critical operations for some of the world's leading institutions. Our cutting-edge platform operates in high-security, high-stakes environments, where reliability, performance, and robust engineering practices are paramount.
As an AI Platform Engineer specializing in Infrastructure, you will be instrumental in building and scaling the foundational platform that supports AI systems used in essential sectors, including government, energy, and healthcare. You will work within dynamic environments that span both cloud and on-premises settings, directly influencing our platform's reliability and performance, ensuring we meet the high standards required by our clients.
This role is pivotal within our Infrastructure/Platform team. You will collaborate closely with engineering, AI/ML, and product teams to design scalable architectures, enhance our environments, optimize deployment processes, and guarantee the robustness necessary for enterprise and sovereign applications.
About Brain Co.
Brain Co. is leading the development of AI technologies that optimize critical workflows across various sectors, ensuring safety and efficiency in high-pressure environments. Join us to be a part of a visionary team that is shaping the future of AI.
About Brain Co.At Brain Co., we are at the forefront of artificial intelligence, developing innovative systems that facilitate mission-critical operations for some of the world's leading institutions. Our cutting-edge platform operates in high-security, high-stakes environments, where reliability, performance, and robust engineering practices are paramount.As an AI Platform Engineer specializing in Infrastructure, you will be instrumental in building and scaling the foundational platform that supports AI systems used in essential sectors, including government, energy, and healthcare. You will work within dynamic environments that span both cloud and on-premises settings, directly influencing our platform's reliability and performance, ensuring we meet the high standards required by our clients.This role is pivotal within our Infrastructure/Platform team. You will collaborate closely with engineering, AI/ML, and product teams to design scalable architectures, enhance our environments, optimize deployment processes, and guarantee the robustness necessary for enterprise and sovereign applications.
About Brain Co.At Brain Co., we are pioneering the infrastructure that transforms cutting-edge AI research into impactful real-world applications. We operate at the forefront of making AI viable in complex, high-stakes environments, especially within government and regulated sectors where manual processes are still prevalent.Our mission is to ensure that AI systems are reliable, scalable, and trustworthy in practical settings. This entails advancing beyond mere demonstrations and models to create robust platforms that facilitate intricate workflows, human-in-the-loop processes, and production-grade reliability at scale.About the RoleAs an AI Platform Backend Engineer, you will be responsible for developing and managing the core backend systems that drive Brain Co.’s AI platform. This is a strategic and high-impact role: your contributions will empower product teams, ML engineers, and customer implementations to operate more effectively and securely.You will design and oversee backend services that facilitate complex AI workflows (including multi-step reasoning, tool usage, and human-in-the-loop processes), emphasizing scalability, reliability, and user experience. Your journey will take systems from initial technical exploration to production deployment, often navigating ambiguous challenges where your insights will shape optimal solutions.This position provides considerable autonomy and the potential to evolve into broader technical and organizational leadership roles over time.
About Brain Co.Brain Co. is a pioneering Applied AI startup founded by visionaries Elad Gil and Jared Kushner, with support from Silicon Valley's most influential builders, including Patrick Collison (CEO of Stripe) and Andrej Karpathy (Cofounder of OpenAI). We are dedicated to developing an AI platform and applications that address the world's most critical challenges, delivering tangible solutions to complex real-world issues. Our achievements to date include:Revolutionized construction permitting for a government agency, achieving an 80% speed increase and unlocking over $375 million in value.Enhanced supply chain efficiency for a major energy provider, reducing costs by 30% and achieving 99% reliability, thereby preventing over $100 million in losses.Improved hospital patient care across national health systems, resulting in 40% better health outcomes and 80% less administrative burden.Secured a $30 million Series A funding round from top-tier investors.Assembled a talented team of over 40 AI specialists from leading organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will have real-world applications, and you'll be empowered to take ownership from day one. We are rapidly growing and need exceptional talent to meet increasing demand.About The RoleAs an AI Product Engineer at Brain Co., you will be instrumental in creating and implementing cutting-edge software solutions that tackle real-world challenges. You will collaborate directly with clients to define product specifications and build solutions from the ground up. Your responsibilities will include designing robust front-end interfaces and developing scalable back-end systems, transforming innovative research into impactful applications for various government entities. This position offers you the chance to significantly influence the accessibility and efficacy of AI technologies.
About Brain Co.At Brain Co., we are dedicated to developing cutting-edge AI systems that enhance critical workflows for some of the globe's most vital institutions. Our platform functions within high-stakes, highly regulated environments where security is not merely an add-on — it is a fundamental requirement.As a Security Engineer at Brain Co., you will be responsible for designing and building the security architecture that safeguards AI systems deployed within government entities, energy providers, and healthcare organizations. Your work will span cloud infrastructure, application layers, and compliance-driven environments, ensuring our platform remains secure by default, auditable, and resilient at scale.This role is pivotal within our Platform organization. You will collaborate closely with teams in Infrastructure, AI/ML, and Product Engineering to integrate security into our system design, deployment, and operational processes — rather than applying it retroactively.
About Brain Co.Brain Co. is an innovative Applied AI startup co-founded by Elad Gil and Jared Kushner, supported by prominent figures in Silicon Valley such as Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are dedicated to developing an AI platform and applications that address critical challenges faced by global institutions, creating tangible impacts on real-world issues. Our achievements include:Automating construction permitting for a government, enhancing processing speed by 80% and unlocking over $375M in value.Optimizing supply chains for a major global energy company, reducing costs by 30% while achieving 99% reliability and preventing losses exceeding $100M.Improving hospital patient care across national health systems, resulting in 40% better outcomes and reducing administrative work by 80%.Successfully raising a $30M Series A from top-tier investors.Building a skilled team of over 40 AI experts from leading organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will have a direct impact, as we prioritize rapid execution and are eager to welcome exceptional individuals who can take charge from day one.About the RoleWe are seeking a Full Cycle Technical Recruiter to spearhead the end-to-end hiring process for Brain Co.'s Engineering teams, specifically in AI/ML, AI Product, and AI Platform domains. You will collaborate closely with our in-house recruiting team and engineering leaders, including the Head of Engineering, to attract and secure top-tier technical talent — individuals who will shape the future of applied AI.This role transcends traditional recruiting; you will architect and propel our recruitment strategy — from developing outbound initiatives and refining our employer brand narrative to managing candidate experiences and negotiating complex offers across international markets.Joining our dynamic and trust-driven environment means that recruiting is viewed as a strategic advantage, and your efforts will significantly influence the quality and direction of Brain Co.'s technical team.Your ResponsibilitiesOversee full-cycle recruiting for AI/ML, AI Product, and AI Platform roles, from sourcing candidates through to offer acceptance.Collaborate with leadership to define hiring needs and establish effective interview processes.Enhance candidate experience to reflect our culture of speed, precision, and mission-driven values.
About Brain Co.At Brain Co., we are pioneering the integration of artificial intelligence into real-world applications, driving innovation and shaping the future across various sectors. Our mission is to leverage the transformative capabilities of AI to address pressing challenges in both governmental and industrial contexts where traditional manual processes still prevail.About the RoleWe are seeking a dynamic and detail-oriented Recruiting Coordinator on a contract basis to enhance our rapid hiring initiatives. This pivotal role will ensure a smooth and organized candidate journey, collaborating closely with recruiters, interviewers, and hiring managers to coordinate interviews, maintain operational systems, and create an exceptional candidate experience from initial contact through to in-person interviews.This hands-on role is ideal for individuals who thrive in a fast-paced environment, possess a passion for logistics, and are dedicated to making the hiring process feel personal, efficient, and professional. This is a contract position with the possibility of transitioning to a full-time role based on performance and business needs.
Join the Innovative Team at Brain Co.Brain Co. is a pioneering Applied AI startup co-founded by industry visionaries such as Elad Gil and supported by prominent figures from Silicon Valley, including Patrick Collison (CEO of Stripe) and Andrej Karpathy (Cofounder of OpenAI). We are dedicated to developing AI solutions that address critical challenges faced by important institutions globally.Our impactful projects have already demonstrated remarkable results:Automated construction permitting for a sovereign government, making processes 80% faster and unlocking over $375 million in value.Optimized supply chains for a leading global energy company, achieving 30% cost reduction and 99% reliability, saving over $100 million.Streamlined hospital patient care across national health systems, resulting in 40% better outcomes and reducing administrative workload by 80%.Raised a substantial $30 million in Series A funding from top-tier investors.Built a talented team of over 40 AI experts with backgrounds from Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your designs will have a direct impact on the real world, enabling rapid deployment and innovation. We are experiencing rapid growth and are seeking exceptional individuals to take charge from day one.
About Brain Co.Brain Co. is an innovative Applied AI startup, co-founded by visionaries Elad Gil and Jared Kushner, with support from some of Silicon Valley's most influential entrepreneurs, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity). We are dedicated to creating an AI platform and applications that address critical challenges faced by the world's leading institutions, generating tangible impacts.Our achievements to date include:Automated construction permitting for a sovereign government, achieving 80% faster processing and unlocking over $375M in value.Optimized supply chains for a major global energy firm, resulting in 30% reduced costs and 99% reliability, thus avoiding more than $100M in losses.Enhanced hospital patient care across national health systems, yielding 40% improved outcomes and 80% less administrative workload.Successfully raised a $30M Series A funding round from top-tier investors.Assembled a diverse team of 40+ AI experts from industry leaders such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will make a difference in the real world rather than remaining in theoretical research. We are moving quickly and seek extraordinary talent ready to take initiative from day one.About The RoleWe are in search of a Product Manager to join our expanding Product team, with the responsibility of fully owning a defined product area from the start. You will convert business challenges into Product Requirement Documents (PRDs), collaborate closely with engineering and design teams, and oversee the lifecycle of projects from development through launch and iteration.This position is perfect for someone who excels in fast-paced, early-stage settings, possesses the ability to bring clarity to uncertainty, and enjoys transforming complex concepts into straightforward, actionable plans. Success in this role will pave the way for greater product ownership and leadership opportunities in the future.Please note that this position will be filled through a referral-only network. We are not accepting unsolicited applications.Key Responsibilities:Take full ownership of a specific product area from discovery and scoping to design, development, and delivery.Draft precise PRDs and convert intricate problems into actionable technical specifications.Work collaboratively with engineering, design, and operations teams to swiftly deliver high-quality products.
Join Brain Co. as an AI/ML Engineer!At Brain Co., we are at the forefront of applied AI innovation, founded by visionaries Elad Gil and Jared Kushner. Our team, backed by prominent figures in Silicon Valley, is dedicated to addressing some of the world's most pressing challenges through our cutting-edge AI platform and applications. Our impact is tangible, demonstrated by our achievements such as:Accelerating construction permitting for a sovereign government by 80%, unlocking over $375 million in value.Reducing costs by 30% and achieving 99% reliability in supply chains for a leading global energy firm, thus preventing over $100 million in losses.Enhancing hospital patient care across national health systems with a 40% improvement in outcomes and 80% reduction in administrative work.Successfully raising $30 million in Series A funding from top-tier investors.Assembling a talented team of 40+ AI specialists from industry leaders such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will have real-world applications and you will have the chance to drive impactful change from day one.Your Role as AI/ML EngineerAs an AI/ML Engineer, you will be pivotal in deploying advanced models that automate a variety of real-world issues across sectors including healthcare, government, and energy. You will transform groundbreaking research into practical solutions that can influence global institutions.Key Responsibilities:Innovate and Deploy: Design and implement advanced LLM models to address real-world challenges by automating complex manual processes across different sectors.Optimize and Scale: Develop scalable data pipelines, enhance model performance and accuracy, and prepare them for production deployment. Continuously monitor and maintain deployed models to ensure sustained value delivery to governments worldwide.Make a Difference: Engage in impactful projects that may include optimizing advanced energy systems, modernizing governmental workflows, and improving patient outcomes in progressive public healthcare systems. Your work will directly contribute to how AI can enhance the efficiency and effectiveness of critical services.
Brain Co. develops applied AI solutions targeting complex challenges in government, healthcare, and critical industries. Founded by Jared Kushner and Elad Gil, the company has backing from leaders in Silicon Valley, including Patrick Collison and Andrej Karpathy. Impact and Achievements Accelerated construction permitting for a sovereign government by 80%, unlocking over $375M in value. Reduced supply chain costs by 30% and achieved 99% reliability for a major global energy company, preventing losses of more than $100M. Improved patient care in national health systems, with a 40% boost in outcomes and an 80% drop in administrative work. Company Growth Raised $55M in Series A funding from top investors. Built a team of over 70 AI experts from organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks. Brain Co. focuses on applying advanced AI to essential services, working closely with institutions that serve millions. The team values leaders who are motivated to bring new technology into sectors that shape daily life.
About Brain Co.At Brain Co., we are pioneering the infrastructure that transforms cutting-edge AI research into tangible real-world applications. We operate on the leading edge of implementing AI solutions in complex, high-stakes environments, especially within government and highly regulated sectors where traditional manual workflows still prevail.Our mission is to establish AI systems that are reliable, scalable, and trustworthy in practical scenarios. We strive to move beyond mere demonstrations and prototypes, creating robust platforms that facilitate intricate workflows, integrate human oversight, and ensure production-grade reliability at scale.About the RoleWe are in search of a Platform Product Manager who will play a crucial role in guiding the evolution of shared systems and foundational elements as our company scales. This role emphasizes identifying patterns across teams' projects, discerning when standardization is advantageous, and ensuring that foundational and shared components empower teams to accelerate their efforts without unnecessary burdens.You will collaborate closely with the engineering team to strike a balance between speed and consistency, making informed decisions about what should be standardized and what can remain adaptable. We are looking for a candidate with strong instincts for building, who can discern when to intervene, when to withdraw, and how to maximize overall impact.In This Role, You WillIdentify recurring engineering patterns and delivery obstacles across products and customers.Assess the necessity for shared systems or standards versus maintaining product-specific ownership.Work with engineering to outline clear interfaces, ownership, and readiness expectations for shared systems.Facilitate the adoption of shared foundations and components as the most efficient and secure path for teams to deliver.Evaluate the uptake and practical application of shared systems, using feedback to inform iterative improvements.Maintain platform processes that are streamlined and focused on actual delivery requirements.Safeguard product team velocity by preventing premature standardization or needless coordination.Clarify team roles and expectations by making ownership boundaries explicit.You Might Thrive in This Role If YouHave successfully launched and scaled real systems and comprehend the trade-offs involved in delivery.Possess a technical or builder mindset coupled with strong product judgment.Understand how to introduce standards while being adaptable to changing needs.
Backend Software Engineer – AI Applications San Francisco Bay Area | Hybrid (3 days onsite, 2 remote)About TrueMeterAt TrueMeter, we are revolutionizing the way businesses manage their energy costs. The U.S. power grid was not designed for the AI era, and we are here to change that. With the rising demand for data centers and the lagging adoption of renewable energy, many businesses are facing increasing utility bills. Our solution? The AI Energy Agent—a system that simplifies and reduces energy costs by consolidating multiple utility bills into a single, affordable subscription. Since our MVP launch in May 2024, we have successfully onboarded millions in energy spending from notable brands. As a seed-stage startup backed by prominent Silicon Valley investors, we are poised for rapid growth.If you are passionate about developing AI-driven systems that can make a significant impact on the planet, we want to hear from you!The RoleWe are seeking a Backend Software Engineer (AI Applications) who thrives in fast-paced, early-stage environments. In this role, you will transform ideas and prototypes into functional systems in a matter of days.You will be responsible for creating the backend infrastructure that powers our AI Energy Agent, including LLM-driven systems that analyze, structure, and interpret energy data. This includes integrating with multiple utility APIs, managing data pipelines, and developing services that ensure our AI solutions are effective and reliable.You will collaborate closely with the co-founder/CTO and a talented team of engineers, designing scalable backend systems that can grow from 10 customers to 10,000, all while taking ownership of your work and delivering with pride.What You Will CreateAI-Driven Backends: Develop production systems that connect LLMs and coding agents to our data and product APIs.Service Architecture: Design and implement fast, secure microservices using Python (and optionally TypeScript).Data Integration: Build reliable connectors to energy company portals and public data sources.Infrastructure for Intelligence: Help architect the backend infrastructure that enables AI agents to read, reason, and act autonomously across our data stack.Performance & Scalability: Own systems that are designed to operate 24/7 with low latency and high reliability.
Dapster is actively seeking a Lead Hardware Engineer to become a pivotal part of our dynamic team. As a rapidly growing startup, this position offers the unique opportunity to influence our foundational technologies and products.About Dapster: We are dedicated to revolutionizing the market with AI-driven robotic picking solutions. Recently, we secured a significant pilot project with a top retailer, providing us with dilution-free funding to further develop our core technology.If you're eager to engage in innovative work alongside a talented and humble team, and want to share in the rewards of joining us at such an early stage, we’d love to hear from you!
About HexusAt Hexus, we are dedicated to unlocking the hidden potential of AI and personalization for businesses. Our passion lies in revolutionizing product-led growth, transforming how companies connect with their customers, thereby enhancing product adoption and ensuring long-term success. With a robust suite of AI-driven tools, Hexus enables businesses to optimize their PLG strategies across Sales, Marketing, and Customer Experience.Supported by leading investors, industry experts, and renowned angel investors, our team is spearheaded by former FAANG founders with extensive experience in SaaS, ML, and UX. Join us in our mission to redefine customer experiences through AI and personalization.Your RoleAs a dynamic, design-driven startup, we are seeking a talented Senior Product Engineer to join our early-stage team. You will be instrumental in actualizing our product vision by creating clean, intuitive UI and UX, developing robust editing tools, and ensuring top-notch performance. We seek an individual who raises the bar for what’s achievable online and is passionate about crafting exceptional responsive, interactive, and enjoyable user experiences.In this role, you will:Collaborate closely with the founding team to design engaging user experiences.Execute critical projects that empower our customers daily.Rapidly prototype and iterate on new features and functionalities, driving ongoing innovation.Architect efficient and reusable frontend systems that support complex web applications.Contribute to shaping the direction of our design-led product.Qualifications5+ years of experience in frontend development.Proficiency in front-end development using TypeScript, React, NextJS, and Node.js.Strong skills in design and styling with frameworks like Tailwind or Material Design.Comprehensive understanding of the entire web stack, including protocols and web server optimization techniques.Familiarity with modern deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc.).Capacity to grasp user challenges and convert them into features and products.A desire to thrive in a fast-paced, iterative startup environment.
About TaktOur Vision: A world where factories are intelligent.At Takt, we are revolutionizing manufacturing by developing the cognitive capabilities of factories.Despite a decade of digitization efforts involving sensors, software, and dashboards, many factories remain unintelligent. Data is often scattered across various disconnected systems, trapped in reports, and reliant on the unwritten know-how of individuals.The challenge lies not in data collection, but in transforming this data into actionable institutional intelligence.Takt is advancing the manufacturing landscape by seamlessly integrating AI agents with deep operational context throughout the entire production stack. Our systems analyze what is happening, why it is occurring, and what actions to take, acting as a continuous strategic advisor for factory leadership across sales, operations, supply chain, and finance.This is not merely another chatbot or analytics tool; we are at the forefront of AI reasoning and decision-making in critical, real-world environments. Just as Tesla redefined automobiles as software-centric systems, Takt is transforming manufacturing into a software-driven industry.FundingTakt is proudly backed by Pear VC (investors in Doordash and Gusto) and is a participant in the PearX accelerator program.Visit our website: www.taktconnect.comFoundersTakt was founded by Adhitya Raghavan (CEO) and Will Zunker (CTO). Adhitya's journey from a small village in South India to leading Takt is fueled by his personal experiences on factory floors. His path led him through prestigious institutions such as Princeton (Mechanical & Aerospace Engineering), Harvard (MBA, Baker Scholar), and Bain, and now he is committed to addressing the $8 trillion waste problem in the manufacturing sector.
About Brain Co.Brain Co. is an innovative Applied AI startup co-founded by Elad Gil and Jared Kushner, with support from some of Silicon Valley's most influential figures, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity). We are dedicated to developing an AI platform and applications for critical institutions around the globe, tackling significant real-world challenges. Some of our notable achievements include:Automated construction permitting for a sovereign government, achieving an 80% increase in efficiency and unlocking over $375 million in value.Optimized supply chains for a leading global energy corporation, resulting in a 30% reduction in costs and a 99% reliability rate, averting losses exceeding $100 million.Streamlined patient care across national healthcare systems, enhancing outcomes by 40% while reducing administrative workload by 80%.Successfully raised $30 million in Series A funding from top-tier investors.Assembled a team of over 40 AI specialists from prestigious companies such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will be implemented in real-world applications rather than confined to theoretical research. We operate at a rapid pace, with demand outstripping our capacity, and we are on the lookout for extraordinary talent ready to take ownership from day one.About The RoleAs an AI/ML Engineer, you will be instrumental in deploying cutting-edge models that automate various real-world challenges across sectors such as healthcare, government, and energy. This role provides a unique opportunity to transform research breakthroughs into practical solutions for nations worldwide, positively influencing the accessibility and impact of AI technology.Your Responsibilities Will Include:Innovate and Deploy: Create and implement advanced LLM models to address real-world challenges, specifically focusing on automating intricate manual processes across multiple sectors.Optimize and Scale: Develop scalable data pipelines, enhance model performance and accuracy, and prepare models for production. Continuously monitor and maintain deployed models to ensure they provide ongoing value to governments globally.Make a Difference: Engage in diverse projects aimed at optimizing cutting-edge energy production systems, modernizing essential government operations, or enhancing patient outcomes in advanced public healthcare systems. Your efforts will directly influence how AI technology benefits society.
About Brain Co.Brain Co. is a cutting-edge Applied AI startup founded by industry leaders Elad Gil and Jared Kushner, with support from some of Silicon Valley's most renowned innovators, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are dedicated to developing an AI platform and applications that tackle significant challenges faced by the world's leading institutions, making a tangible impact on real-world issues. Our achievements include:Automated construction permitting for a sovereign government, resulting in 80% faster processes and unlocking over $375M in value.Optimized supply chains for a major global energy company, leading to a 30% reduction in costs and 99% reliability, preventing over $100M in potential losses.Streamlined hospital patient care across national health systems, achieving 40% better outcomes and reducing administrative work by 80%.Secured a $30M Series A funding round from top investors.Assembled a talented team of over 40 AI experts hailing from prestigious companies such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will directly impact real-world applications rather than being confined to research. We operate at a swift pace, facing high demand, and seek exceptional individuals ready to take initiative from day one.
Join Our MissionThe trucking and logistics sector is essential to our economy, yet its payment infrastructure is outdated and inefficient. At AtoB, we are on a mission to revolutionize payment systems for this industry. We've identified the challenges faced by hardworking professionals in trucking — from outdated tools to hidden fees, and we are committed to delivering solutions that prioritize their needs.About AtoBOur goal is to create a seamless payment experience akin to Stripe, tailor-made for the transportation industry. We understand the critical role of timely capital movement in supply chains and strive to ensure it happens smoothly and fairly. Every product we develop enhances user experience and works intelligently within the unique constraints our customers face daily, whether they are fleet managers or drivers.Our ExpertiseOur founding team boasts extensive experience in the tech and payments landscape, with backgrounds from industry leaders like Cruise Automation, Uber, Google, Meta, and Stripe. We've attracted over $125 million in funding from prominent investors, including General Catalyst, Y Combinator, and major tech founders, positioning us as a leader in innovation within our sector.Recognized by Forbes as one of the Next Billion-Dollar Startups, we are also proud to join the World Economic Forum as a Global Innovator.
About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service tailored for browser automation and web agent creation. Our API and MCP server enable developers to seamlessly launch browsers in the cloud without the hassle of infrastructure management.Our serverless browser platform takes care of the complex tasks: autoscaling reliable browser infrastructure, ensuring observability, and managing the intricate details of web interactions, allowing developers to concentrate on their agent functionalities rather than the underlying processes. Kernel brings AI to life, making it practical and powerful, empowering developers to deploy agents that can effectively engage with the digital landscape.We are trusted by teams at Cash App, Rye, and numerous others for diverse applications like in-depth research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from notable investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), among others.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you're passionate about developing critical infrastructure for the next generation of AI applications, we would love to connect.
Join the Founding Team as a DevOps Engineer!Location: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary plus meaningful equity at the founding tier.Supported by 8VC, we are on a mission to assemble an exceptional team addressing one of the industry's most pressing infrastructure challenges.About the RoleWe are developing an AI-native, multi-tenant enterprise platform designed for complex industrial domains. In this cutting-edge architecture, the role of DevOps extends beyond just feature delivery; it encompasses operationalizing intelligent agents, ensuring traceability across AI systems, and maintaining mission-critical machine learning infrastructure at scale.We are seeking a passionate DevOps engineer who will take ownership of our infrastructure from Day 1, automating everything from CI/CD processes to observability, cloud governance, and security protocols. You will collaborate with a highly skilled team focused on building real-time AI pipelines and multi-agent systems. If you aspire to be the driving force behind a fast, secure, reliable, and explainable platform, this position is for you.Key ResponsibilitiesDevelop and maintain scalable cloud infrastructure across AWS, GCP, and Azure, prioritizing secure, tenant-isolated deployments.Own and enhance CI/CD systems (e.g., GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback strategies.Establish observability tools across services, agents, and pipelines (including OpenTelemetry, Prometheus, Grafana, and Sentry).Implement policy-as-code (OPA, Rego) to ensure deployment safety, RBAC, audit logging, and approval workflows.Define and uphold SLAs, uptime targets (99.99%+), incident response, and remediation workflows.Secure infrastructure through IAM, VPC, encryption, key management, image scanning, and secrets rotation.Automate deployments, infrastructure provisioning (using Terraform, Helm), and environment replication.QualificationsEssential Experience:4–10+ years of experience in DevOps, platform engineering, or Site Reliability Engineering (SRE) in production-grade systems.Extensive experience with Docker, Kubernetes (EKS/GKE), and either Terraform or Pulumi.Proven track record in deploying and monitoring distributed cloud applications.
About Brain Co.At Brain Co., we are at the forefront of artificial intelligence, developing innovative systems that facilitate mission-critical operations for some of the world's leading institutions. Our cutting-edge platform operates in high-security, high-stakes environments, where reliability, performance, and robust engineering practices are paramount.As an AI Platform Engineer specializing in Infrastructure, you will be instrumental in building and scaling the foundational platform that supports AI systems used in essential sectors, including government, energy, and healthcare. You will work within dynamic environments that span both cloud and on-premises settings, directly influencing our platform's reliability and performance, ensuring we meet the high standards required by our clients.This role is pivotal within our Infrastructure/Platform team. You will collaborate closely with engineering, AI/ML, and product teams to design scalable architectures, enhance our environments, optimize deployment processes, and guarantee the robustness necessary for enterprise and sovereign applications.
About Brain Co.At Brain Co., we are pioneering the infrastructure that transforms cutting-edge AI research into impactful real-world applications. We operate at the forefront of making AI viable in complex, high-stakes environments, especially within government and regulated sectors where manual processes are still prevalent.Our mission is to ensure that AI systems are reliable, scalable, and trustworthy in practical settings. This entails advancing beyond mere demonstrations and models to create robust platforms that facilitate intricate workflows, human-in-the-loop processes, and production-grade reliability at scale.About the RoleAs an AI Platform Backend Engineer, you will be responsible for developing and managing the core backend systems that drive Brain Co.’s AI platform. This is a strategic and high-impact role: your contributions will empower product teams, ML engineers, and customer implementations to operate more effectively and securely.You will design and oversee backend services that facilitate complex AI workflows (including multi-step reasoning, tool usage, and human-in-the-loop processes), emphasizing scalability, reliability, and user experience. Your journey will take systems from initial technical exploration to production deployment, often navigating ambiguous challenges where your insights will shape optimal solutions.This position provides considerable autonomy and the potential to evolve into broader technical and organizational leadership roles over time.
About Brain Co.Brain Co. is a pioneering Applied AI startup founded by visionaries Elad Gil and Jared Kushner, with support from Silicon Valley's most influential builders, including Patrick Collison (CEO of Stripe) and Andrej Karpathy (Cofounder of OpenAI). We are dedicated to developing an AI platform and applications that address the world's most critical challenges, delivering tangible solutions to complex real-world issues. Our achievements to date include:Revolutionized construction permitting for a government agency, achieving an 80% speed increase and unlocking over $375 million in value.Enhanced supply chain efficiency for a major energy provider, reducing costs by 30% and achieving 99% reliability, thereby preventing over $100 million in losses.Improved hospital patient care across national health systems, resulting in 40% better health outcomes and 80% less administrative burden.Secured a $30 million Series A funding round from top-tier investors.Assembled a talented team of over 40 AI specialists from leading organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will have real-world applications, and you'll be empowered to take ownership from day one. We are rapidly growing and need exceptional talent to meet increasing demand.About The RoleAs an AI Product Engineer at Brain Co., you will be instrumental in creating and implementing cutting-edge software solutions that tackle real-world challenges. You will collaborate directly with clients to define product specifications and build solutions from the ground up. Your responsibilities will include designing robust front-end interfaces and developing scalable back-end systems, transforming innovative research into impactful applications for various government entities. This position offers you the chance to significantly influence the accessibility and efficacy of AI technologies.
About Brain Co.At Brain Co., we are dedicated to developing cutting-edge AI systems that enhance critical workflows for some of the globe's most vital institutions. Our platform functions within high-stakes, highly regulated environments where security is not merely an add-on — it is a fundamental requirement.As a Security Engineer at Brain Co., you will be responsible for designing and building the security architecture that safeguards AI systems deployed within government entities, energy providers, and healthcare organizations. Your work will span cloud infrastructure, application layers, and compliance-driven environments, ensuring our platform remains secure by default, auditable, and resilient at scale.This role is pivotal within our Platform organization. You will collaborate closely with teams in Infrastructure, AI/ML, and Product Engineering to integrate security into our system design, deployment, and operational processes — rather than applying it retroactively.
About Brain Co.Brain Co. is an innovative Applied AI startup co-founded by Elad Gil and Jared Kushner, supported by prominent figures in Silicon Valley such as Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are dedicated to developing an AI platform and applications that address critical challenges faced by global institutions, creating tangible impacts on real-world issues. Our achievements include:Automating construction permitting for a government, enhancing processing speed by 80% and unlocking over $375M in value.Optimizing supply chains for a major global energy company, reducing costs by 30% while achieving 99% reliability and preventing losses exceeding $100M.Improving hospital patient care across national health systems, resulting in 40% better outcomes and reducing administrative work by 80%.Successfully raising a $30M Series A from top-tier investors.Building a skilled team of over 40 AI experts from leading organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will have a direct impact, as we prioritize rapid execution and are eager to welcome exceptional individuals who can take charge from day one.About the RoleWe are seeking a Full Cycle Technical Recruiter to spearhead the end-to-end hiring process for Brain Co.'s Engineering teams, specifically in AI/ML, AI Product, and AI Platform domains. You will collaborate closely with our in-house recruiting team and engineering leaders, including the Head of Engineering, to attract and secure top-tier technical talent — individuals who will shape the future of applied AI.This role transcends traditional recruiting; you will architect and propel our recruitment strategy — from developing outbound initiatives and refining our employer brand narrative to managing candidate experiences and negotiating complex offers across international markets.Joining our dynamic and trust-driven environment means that recruiting is viewed as a strategic advantage, and your efforts will significantly influence the quality and direction of Brain Co.'s technical team.Your ResponsibilitiesOversee full-cycle recruiting for AI/ML, AI Product, and AI Platform roles, from sourcing candidates through to offer acceptance.Collaborate with leadership to define hiring needs and establish effective interview processes.Enhance candidate experience to reflect our culture of speed, precision, and mission-driven values.
About Brain Co.At Brain Co., we are pioneering the integration of artificial intelligence into real-world applications, driving innovation and shaping the future across various sectors. Our mission is to leverage the transformative capabilities of AI to address pressing challenges in both governmental and industrial contexts where traditional manual processes still prevail.About the RoleWe are seeking a dynamic and detail-oriented Recruiting Coordinator on a contract basis to enhance our rapid hiring initiatives. This pivotal role will ensure a smooth and organized candidate journey, collaborating closely with recruiters, interviewers, and hiring managers to coordinate interviews, maintain operational systems, and create an exceptional candidate experience from initial contact through to in-person interviews.This hands-on role is ideal for individuals who thrive in a fast-paced environment, possess a passion for logistics, and are dedicated to making the hiring process feel personal, efficient, and professional. This is a contract position with the possibility of transitioning to a full-time role based on performance and business needs.
Join the Innovative Team at Brain Co.Brain Co. is a pioneering Applied AI startup co-founded by industry visionaries such as Elad Gil and supported by prominent figures from Silicon Valley, including Patrick Collison (CEO of Stripe) and Andrej Karpathy (Cofounder of OpenAI). We are dedicated to developing AI solutions that address critical challenges faced by important institutions globally.Our impactful projects have already demonstrated remarkable results:Automated construction permitting for a sovereign government, making processes 80% faster and unlocking over $375 million in value.Optimized supply chains for a leading global energy company, achieving 30% cost reduction and 99% reliability, saving over $100 million.Streamlined hospital patient care across national health systems, resulting in 40% better outcomes and reducing administrative workload by 80%.Raised a substantial $30 million in Series A funding from top-tier investors.Built a talented team of over 40 AI experts with backgrounds from Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your designs will have a direct impact on the real world, enabling rapid deployment and innovation. We are experiencing rapid growth and are seeking exceptional individuals to take charge from day one.
About Brain Co.Brain Co. is an innovative Applied AI startup, co-founded by visionaries Elad Gil and Jared Kushner, with support from some of Silicon Valley's most influential entrepreneurs, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity). We are dedicated to creating an AI platform and applications that address critical challenges faced by the world's leading institutions, generating tangible impacts.Our achievements to date include:Automated construction permitting for a sovereign government, achieving 80% faster processing and unlocking over $375M in value.Optimized supply chains for a major global energy firm, resulting in 30% reduced costs and 99% reliability, thus avoiding more than $100M in losses.Enhanced hospital patient care across national health systems, yielding 40% improved outcomes and 80% less administrative workload.Successfully raised a $30M Series A funding round from top-tier investors.Assembled a diverse team of 40+ AI experts from industry leaders such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will make a difference in the real world rather than remaining in theoretical research. We are moving quickly and seek extraordinary talent ready to take initiative from day one.About The RoleWe are in search of a Product Manager to join our expanding Product team, with the responsibility of fully owning a defined product area from the start. You will convert business challenges into Product Requirement Documents (PRDs), collaborate closely with engineering and design teams, and oversee the lifecycle of projects from development through launch and iteration.This position is perfect for someone who excels in fast-paced, early-stage settings, possesses the ability to bring clarity to uncertainty, and enjoys transforming complex concepts into straightforward, actionable plans. Success in this role will pave the way for greater product ownership and leadership opportunities in the future.Please note that this position will be filled through a referral-only network. We are not accepting unsolicited applications.Key Responsibilities:Take full ownership of a specific product area from discovery and scoping to design, development, and delivery.Draft precise PRDs and convert intricate problems into actionable technical specifications.Work collaboratively with engineering, design, and operations teams to swiftly deliver high-quality products.
Join Brain Co. as an AI/ML Engineer!At Brain Co., we are at the forefront of applied AI innovation, founded by visionaries Elad Gil and Jared Kushner. Our team, backed by prominent figures in Silicon Valley, is dedicated to addressing some of the world's most pressing challenges through our cutting-edge AI platform and applications. Our impact is tangible, demonstrated by our achievements such as:Accelerating construction permitting for a sovereign government by 80%, unlocking over $375 million in value.Reducing costs by 30% and achieving 99% reliability in supply chains for a leading global energy firm, thus preventing over $100 million in losses.Enhancing hospital patient care across national health systems with a 40% improvement in outcomes and 80% reduction in administrative work.Successfully raising $30 million in Series A funding from top-tier investors.Assembling a talented team of 40+ AI specialists from industry leaders such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will have real-world applications and you will have the chance to drive impactful change from day one.Your Role as AI/ML EngineerAs an AI/ML Engineer, you will be pivotal in deploying advanced models that automate a variety of real-world issues across sectors including healthcare, government, and energy. You will transform groundbreaking research into practical solutions that can influence global institutions.Key Responsibilities:Innovate and Deploy: Design and implement advanced LLM models to address real-world challenges by automating complex manual processes across different sectors.Optimize and Scale: Develop scalable data pipelines, enhance model performance and accuracy, and prepare them for production deployment. Continuously monitor and maintain deployed models to ensure sustained value delivery to governments worldwide.Make a Difference: Engage in impactful projects that may include optimizing advanced energy systems, modernizing governmental workflows, and improving patient outcomes in progressive public healthcare systems. Your work will directly contribute to how AI can enhance the efficiency and effectiveness of critical services.
Brain Co. develops applied AI solutions targeting complex challenges in government, healthcare, and critical industries. Founded by Jared Kushner and Elad Gil, the company has backing from leaders in Silicon Valley, including Patrick Collison and Andrej Karpathy. Impact and Achievements Accelerated construction permitting for a sovereign government by 80%, unlocking over $375M in value. Reduced supply chain costs by 30% and achieved 99% reliability for a major global energy company, preventing losses of more than $100M. Improved patient care in national health systems, with a 40% boost in outcomes and an 80% drop in administrative work. Company Growth Raised $55M in Series A funding from top investors. Built a team of over 70 AI experts from organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks. Brain Co. focuses on applying advanced AI to essential services, working closely with institutions that serve millions. The team values leaders who are motivated to bring new technology into sectors that shape daily life.
About Brain Co.At Brain Co., we are pioneering the infrastructure that transforms cutting-edge AI research into tangible real-world applications. We operate on the leading edge of implementing AI solutions in complex, high-stakes environments, especially within government and highly regulated sectors where traditional manual workflows still prevail.Our mission is to establish AI systems that are reliable, scalable, and trustworthy in practical scenarios. We strive to move beyond mere demonstrations and prototypes, creating robust platforms that facilitate intricate workflows, integrate human oversight, and ensure production-grade reliability at scale.About the RoleWe are in search of a Platform Product Manager who will play a crucial role in guiding the evolution of shared systems and foundational elements as our company scales. This role emphasizes identifying patterns across teams' projects, discerning when standardization is advantageous, and ensuring that foundational and shared components empower teams to accelerate their efforts without unnecessary burdens.You will collaborate closely with the engineering team to strike a balance between speed and consistency, making informed decisions about what should be standardized and what can remain adaptable. We are looking for a candidate with strong instincts for building, who can discern when to intervene, when to withdraw, and how to maximize overall impact.In This Role, You WillIdentify recurring engineering patterns and delivery obstacles across products and customers.Assess the necessity for shared systems or standards versus maintaining product-specific ownership.Work with engineering to outline clear interfaces, ownership, and readiness expectations for shared systems.Facilitate the adoption of shared foundations and components as the most efficient and secure path for teams to deliver.Evaluate the uptake and practical application of shared systems, using feedback to inform iterative improvements.Maintain platform processes that are streamlined and focused on actual delivery requirements.Safeguard product team velocity by preventing premature standardization or needless coordination.Clarify team roles and expectations by making ownership boundaries explicit.You Might Thrive in This Role If YouHave successfully launched and scaled real systems and comprehend the trade-offs involved in delivery.Possess a technical or builder mindset coupled with strong product judgment.Understand how to introduce standards while being adaptable to changing needs.
Backend Software Engineer – AI Applications San Francisco Bay Area | Hybrid (3 days onsite, 2 remote)About TrueMeterAt TrueMeter, we are revolutionizing the way businesses manage their energy costs. The U.S. power grid was not designed for the AI era, and we are here to change that. With the rising demand for data centers and the lagging adoption of renewable energy, many businesses are facing increasing utility bills. Our solution? The AI Energy Agent—a system that simplifies and reduces energy costs by consolidating multiple utility bills into a single, affordable subscription. Since our MVP launch in May 2024, we have successfully onboarded millions in energy spending from notable brands. As a seed-stage startup backed by prominent Silicon Valley investors, we are poised for rapid growth.If you are passionate about developing AI-driven systems that can make a significant impact on the planet, we want to hear from you!The RoleWe are seeking a Backend Software Engineer (AI Applications) who thrives in fast-paced, early-stage environments. In this role, you will transform ideas and prototypes into functional systems in a matter of days.You will be responsible for creating the backend infrastructure that powers our AI Energy Agent, including LLM-driven systems that analyze, structure, and interpret energy data. This includes integrating with multiple utility APIs, managing data pipelines, and developing services that ensure our AI solutions are effective and reliable.You will collaborate closely with the co-founder/CTO and a talented team of engineers, designing scalable backend systems that can grow from 10 customers to 10,000, all while taking ownership of your work and delivering with pride.What You Will CreateAI-Driven Backends: Develop production systems that connect LLMs and coding agents to our data and product APIs.Service Architecture: Design and implement fast, secure microservices using Python (and optionally TypeScript).Data Integration: Build reliable connectors to energy company portals and public data sources.Infrastructure for Intelligence: Help architect the backend infrastructure that enables AI agents to read, reason, and act autonomously across our data stack.Performance & Scalability: Own systems that are designed to operate 24/7 with low latency and high reliability.
Dapster is actively seeking a Lead Hardware Engineer to become a pivotal part of our dynamic team. As a rapidly growing startup, this position offers the unique opportunity to influence our foundational technologies and products.About Dapster: We are dedicated to revolutionizing the market with AI-driven robotic picking solutions. Recently, we secured a significant pilot project with a top retailer, providing us with dilution-free funding to further develop our core technology.If you're eager to engage in innovative work alongside a talented and humble team, and want to share in the rewards of joining us at such an early stage, we’d love to hear from you!
About HexusAt Hexus, we are dedicated to unlocking the hidden potential of AI and personalization for businesses. Our passion lies in revolutionizing product-led growth, transforming how companies connect with their customers, thereby enhancing product adoption and ensuring long-term success. With a robust suite of AI-driven tools, Hexus enables businesses to optimize their PLG strategies across Sales, Marketing, and Customer Experience.Supported by leading investors, industry experts, and renowned angel investors, our team is spearheaded by former FAANG founders with extensive experience in SaaS, ML, and UX. Join us in our mission to redefine customer experiences through AI and personalization.Your RoleAs a dynamic, design-driven startup, we are seeking a talented Senior Product Engineer to join our early-stage team. You will be instrumental in actualizing our product vision by creating clean, intuitive UI and UX, developing robust editing tools, and ensuring top-notch performance. We seek an individual who raises the bar for what’s achievable online and is passionate about crafting exceptional responsive, interactive, and enjoyable user experiences.In this role, you will:Collaborate closely with the founding team to design engaging user experiences.Execute critical projects that empower our customers daily.Rapidly prototype and iterate on new features and functionalities, driving ongoing innovation.Architect efficient and reusable frontend systems that support complex web applications.Contribute to shaping the direction of our design-led product.Qualifications5+ years of experience in frontend development.Proficiency in front-end development using TypeScript, React, NextJS, and Node.js.Strong skills in design and styling with frameworks like Tailwind or Material Design.Comprehensive understanding of the entire web stack, including protocols and web server optimization techniques.Familiarity with modern deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc.).Capacity to grasp user challenges and convert them into features and products.A desire to thrive in a fast-paced, iterative startup environment.
About TaktOur Vision: A world where factories are intelligent.At Takt, we are revolutionizing manufacturing by developing the cognitive capabilities of factories.Despite a decade of digitization efforts involving sensors, software, and dashboards, many factories remain unintelligent. Data is often scattered across various disconnected systems, trapped in reports, and reliant on the unwritten know-how of individuals.The challenge lies not in data collection, but in transforming this data into actionable institutional intelligence.Takt is advancing the manufacturing landscape by seamlessly integrating AI agents with deep operational context throughout the entire production stack. Our systems analyze what is happening, why it is occurring, and what actions to take, acting as a continuous strategic advisor for factory leadership across sales, operations, supply chain, and finance.This is not merely another chatbot or analytics tool; we are at the forefront of AI reasoning and decision-making in critical, real-world environments. Just as Tesla redefined automobiles as software-centric systems, Takt is transforming manufacturing into a software-driven industry.FundingTakt is proudly backed by Pear VC (investors in Doordash and Gusto) and is a participant in the PearX accelerator program.Visit our website: www.taktconnect.comFoundersTakt was founded by Adhitya Raghavan (CEO) and Will Zunker (CTO). Adhitya's journey from a small village in South India to leading Takt is fueled by his personal experiences on factory floors. His path led him through prestigious institutions such as Princeton (Mechanical & Aerospace Engineering), Harvard (MBA, Baker Scholar), and Bain, and now he is committed to addressing the $8 trillion waste problem in the manufacturing sector.
About Brain Co.Brain Co. is an innovative Applied AI startup co-founded by Elad Gil and Jared Kushner, with support from some of Silicon Valley's most influential figures, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity). We are dedicated to developing an AI platform and applications for critical institutions around the globe, tackling significant real-world challenges. Some of our notable achievements include:Automated construction permitting for a sovereign government, achieving an 80% increase in efficiency and unlocking over $375 million in value.Optimized supply chains for a leading global energy corporation, resulting in a 30% reduction in costs and a 99% reliability rate, averting losses exceeding $100 million.Streamlined patient care across national healthcare systems, enhancing outcomes by 40% while reducing administrative workload by 80%.Successfully raised $30 million in Series A funding from top-tier investors.Assembled a team of over 40 AI specialists from prestigious companies such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will be implemented in real-world applications rather than confined to theoretical research. We operate at a rapid pace, with demand outstripping our capacity, and we are on the lookout for extraordinary talent ready to take ownership from day one.About The RoleAs an AI/ML Engineer, you will be instrumental in deploying cutting-edge models that automate various real-world challenges across sectors such as healthcare, government, and energy. This role provides a unique opportunity to transform research breakthroughs into practical solutions for nations worldwide, positively influencing the accessibility and impact of AI technology.Your Responsibilities Will Include:Innovate and Deploy: Create and implement advanced LLM models to address real-world challenges, specifically focusing on automating intricate manual processes across multiple sectors.Optimize and Scale: Develop scalable data pipelines, enhance model performance and accuracy, and prepare models for production. Continuously monitor and maintain deployed models to ensure they provide ongoing value to governments globally.Make a Difference: Engage in diverse projects aimed at optimizing cutting-edge energy production systems, modernizing essential government operations, or enhancing patient outcomes in advanced public healthcare systems. Your efforts will directly influence how AI technology benefits society.
About Brain Co.Brain Co. is a cutting-edge Applied AI startup founded by industry leaders Elad Gil and Jared Kushner, with support from some of Silicon Valley's most renowned innovators, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are dedicated to developing an AI platform and applications that tackle significant challenges faced by the world's leading institutions, making a tangible impact on real-world issues. Our achievements include:Automated construction permitting for a sovereign government, resulting in 80% faster processes and unlocking over $375M in value.Optimized supply chains for a major global energy company, leading to a 30% reduction in costs and 99% reliability, preventing over $100M in potential losses.Streamlined hospital patient care across national health systems, achieving 40% better outcomes and reducing administrative work by 80%.Secured a $30M Series A funding round from top investors.Assembled a talented team of over 40 AI experts hailing from prestigious companies such as Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will directly impact real-world applications rather than being confined to research. We operate at a swift pace, facing high demand, and seek exceptional individuals ready to take initiative from day one.
Join Our MissionThe trucking and logistics sector is essential to our economy, yet its payment infrastructure is outdated and inefficient. At AtoB, we are on a mission to revolutionize payment systems for this industry. We've identified the challenges faced by hardworking professionals in trucking — from outdated tools to hidden fees, and we are committed to delivering solutions that prioritize their needs.About AtoBOur goal is to create a seamless payment experience akin to Stripe, tailor-made for the transportation industry. We understand the critical role of timely capital movement in supply chains and strive to ensure it happens smoothly and fairly. Every product we develop enhances user experience and works intelligently within the unique constraints our customers face daily, whether they are fleet managers or drivers.Our ExpertiseOur founding team boasts extensive experience in the tech and payments landscape, with backgrounds from industry leaders like Cruise Automation, Uber, Google, Meta, and Stripe. We've attracted over $125 million in funding from prominent investors, including General Catalyst, Y Combinator, and major tech founders, positioning us as a leader in innovation within our sector.Recognized by Forbes as one of the Next Billion-Dollar Startups, we are also proud to join the World Economic Forum as a Global Innovator.
About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service tailored for browser automation and web agent creation. Our API and MCP server enable developers to seamlessly launch browsers in the cloud without the hassle of infrastructure management.Our serverless browser platform takes care of the complex tasks: autoscaling reliable browser infrastructure, ensuring observability, and managing the intricate details of web interactions, allowing developers to concentrate on their agent functionalities rather than the underlying processes. Kernel brings AI to life, making it practical and powerful, empowering developers to deploy agents that can effectively engage with the digital landscape.We are trusted by teams at Cash App, Rye, and numerous others for diverse applications like in-depth research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from notable investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), among others.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you're passionate about developing critical infrastructure for the next generation of AI applications, we would love to connect.
Join the Founding Team as a DevOps Engineer!Location: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary plus meaningful equity at the founding tier.Supported by 8VC, we are on a mission to assemble an exceptional team addressing one of the industry's most pressing infrastructure challenges.About the RoleWe are developing an AI-native, multi-tenant enterprise platform designed for complex industrial domains. In this cutting-edge architecture, the role of DevOps extends beyond just feature delivery; it encompasses operationalizing intelligent agents, ensuring traceability across AI systems, and maintaining mission-critical machine learning infrastructure at scale.We are seeking a passionate DevOps engineer who will take ownership of our infrastructure from Day 1, automating everything from CI/CD processes to observability, cloud governance, and security protocols. You will collaborate with a highly skilled team focused on building real-time AI pipelines and multi-agent systems. If you aspire to be the driving force behind a fast, secure, reliable, and explainable platform, this position is for you.Key ResponsibilitiesDevelop and maintain scalable cloud infrastructure across AWS, GCP, and Azure, prioritizing secure, tenant-isolated deployments.Own and enhance CI/CD systems (e.g., GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback strategies.Establish observability tools across services, agents, and pipelines (including OpenTelemetry, Prometheus, Grafana, and Sentry).Implement policy-as-code (OPA, Rego) to ensure deployment safety, RBAC, audit logging, and approval workflows.Define and uphold SLAs, uptime targets (99.99%+), incident response, and remediation workflows.Secure infrastructure through IAM, VPC, encryption, key management, image scanning, and secrets rotation.Automate deployments, infrastructure provisioning (using Terraform, Helm), and environment replication.QualificationsEssential Experience:4–10+ years of experience in DevOps, platform engineering, or Site Reliability Engineering (SRE) in production-grade systems.Extensive experience with Docker, Kubernetes (EKS/GKE), and either Terraform or Pulumi.Proven track record in deploying and monitoring distributed cloud applications.
Aug 11, 2025
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