Software Engineer, Engineering Acceleration | Consumer Devices

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. Together with our members, we’re revolutionizing personal finance interactions. As a next-gen financial services company and national bank leveraging innovative, mobile-first technology, we empower millions of members to achieve their goals. In a time of unprecedented industry transformation, we take pride in the impact we make every day, driven by our core values. Invest in yourself, your career, and the future of finance with us.The Opportunity:We are seeking a forward-thinking and entrepreneurial Principal Software Engineer to become a key member of our Builder Tools engineering organization. In this influential role, you will lead the technical strategy and architecture of our next-generation internal developer platform, integrating AI-first practices into the software development life cycle (SDLC). Your contributions will enhance the developer experience by enabling SoFi engineers with AI-driven development tools and methodologies. As a thought leader in the Developer Tooling domain, you'll mentor peers and drive solutions from conception to implementation, fostering organizational change and prioritizing customer success.

About CartesiaAt Cartesia, our vision is to develop the next wave of artificial intelligence: a seamless, interactive intelligence that is accessible anytime and anywhere. Even the most advanced models today struggle to consistently analyze extensive streams of audio, video, and text—this includes a staggering 1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—much less accomplishing this directly on devices.We are at the forefront of designing the model architectures that will revolutionize this capability. Our founding team, who met as PhD students at the Stanford AI Lab, pioneered State Space Models (SSMs), a groundbreaking tool for training efficient, large-scale foundational models. Our diverse team blends in-depth knowledge of model innovation with strong systems engineering and a product-driven engineering approach to create and deploy cutting-edge models and experiences.We are backed by prestigious investors including Index Ventures and Lightspeed Venture Partners, along with contributions from Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks, and many others. We are privileged to have the mentorship of numerous esteemed advisors and over 90 angel investors from various fields, including leading experts in AI.About the RoleWe are seeking an AI-native Software Engineer focused on Developer Acceleration to enhance the developer experience and optimize the speed at which Cartesia engineers can ship solutions. This role involves creating innovative tooling at the cutting edge of AI programming, and developing a comprehensive playbook that empowers both engineers and non-engineers to efficiently deploy consistent and maintainable internal tools independently.Your ImpactDesign workflows that facilitate Cartesia's transition from problem identification to solution implementation with minimal human oversight.Remain informed about the latest advancements in AI-assisted development and champion its adoption within Cartesia.Develop automated end-to-end development and evaluation frameworks that empower coding agents to refine solutions and self-correct.Create a playbook for the Cartesia team to build data-connected, IAM-aware internal tools for both human-in-the-loop and automated processes.

Join Our Innovative TeamAt OpenAI, our Kernels team is at the forefront of developing cutting-edge software that drives our most ambitious AI research initiatives.We operate at the intersection of hardware and software, crafting high-performance kernels and implementing distributed system optimizations to enhance the efficiency of large-scale training and inference processes.Our mission is to empower OpenAI to push the boundaries of AI by ensuring that various models—from large language models (LLMs) to recommendation systems—operate seamlessly on state-of-the-art supercomputing infrastructures. This includes adapting our software stack for new accelerator technologies, optimizing overall system performance, and eliminating bottlenecks throughout the architecture.Your RoleAs a member of the Accelerators team, you will play a crucial role in evaluating and integrating new computing platforms designed to support extensive AI training and inference capabilities.Your projects will encompass everything from prototyping system software on emerging accelerators to implementing performance enhancements across our AI applications.You will engage with both hardware and software components, focusing on kernel development, sharding strategies, distributed systems scalability, and performance modeling.This position emphasizes the integration of machine learning algorithms with system performance optimization—particularly in large-scale environments—rather than solely compiler development.Key ResponsibilitiesPrototype and empower OpenAI's AI software stack on pioneering accelerator platforms.Enhance the performance of large-scale models (LLMs, recommender systems, distributed AI workloads) across varied hardware setups.Design kernels, sharding strategies, and system scaling solutions optimized for new accelerator technologies.Collaborate on code-level optimizations (e.g., in PyTorch) and lower-level enhancements to improve performance on unconventional hardware. Conduct system-level performance modeling, identify bottlenecks, and foster comprehensive optimization.Partner with hardware teams and vendors to assess alternatives to current platforms and adapt our software stack accordingly.Contribute to runtime advancements, compute and communication overlapping, and scaling strategies for next-generation AI workloads.Ideal Candidate ProfileA strong background in software engineering, particularly with a focus on system performance and large-scale applications.Experience with AI workloads and optimizing performance across both hardware and software layers.Familiarity with distributed systems and the ability to work collaboratively with hardware teams.A passion for advancing AI technologies and a desire to tackle challenging problems in a fast-paced environment.

Join Perplexity as a Software Engineer on our innovative Acceleration team! We are at the forefront of transforming how individuals navigate the internet and the world around them. Our goal is to enhance the operational efficiency of our teams and achieve significant advancements in both product and user experience.As we lead the way into an agentic future for the internet, you will play a crucial role in leveraging AI tools and agents to amplify the capabilities of our focused, mission-driven teams. Currently, AI is integrated into every aspect of our work, from frontend and backend engineering to applied AI research and business operations. The Acceleration team is dedicated to pioneering software and process engineering to maximize the benefits of AI technology, ensuring we deliver at unparalleled speeds.We are looking for candidates with exceptional technical judgment developed through experience in internet-scale companies, who actively engage with cutting-edge AI tools and possess a visionary mindset to redefine work processes for future-leading organizations. You will thrive in a versatile role that combines AI product development, infrastructure/platform engineering, developer experience, and more.

Join Prima Mente: A Leader in Biology AIAt Prima Mente, we are redefining the frontier of biology through artificial intelligence. Our mission is to generate unique datasets, develop versatile biological foundation models, and translate groundbreaking discoveries into impactful research and clinical outcomes. With a commitment to understanding the complexities of the brain, we aim to shield it from neurological diseases while enhancing overall health. Our diverse team of AI researchers, experimentalists, clinicians, and operational experts operates across London, San Francisco, and Dubai.Role Overview: GPU/CPU-Accelerated BioinformaticsWe are seeking a skilled Bioinformatics Software Engineer to architect and implement scalable production pipelines for processing multi-omics data. The successful candidate will enable rapid transitions from hypothesis to patent-ready solutions in a matter of months.Key Responsibilities:Design and implement bioinformatics pipelines optimized for GPU/CPU utilization utilizing tools like Flyte and Nextflow, capable of processing over 1,000 samples at scale.Optimize performance and cost efficiency by leveraging GPU/CPU acceleration where it provides the greatest benefit.Collaborate with experimental and machine learning teams to validate computational results and align processing with model requirements.Foster and manage collaborations with academic and industrial research partners.Growth Expectations1 Month: You will be deploying your workflows on GPU/CPU-accelerated cloud infrastructure to process multi-omic experiments, while building relationships with AI/ML and wet lab teams to understand their requirements.3 Months: Your optimized pipelines will be processing thousands of samples with substantial speed enhancements and reduced costs, yielding publication and patent-ready outcomes.6 Months: Your automated pipelines will support daily AI model training, and you will co-design experiments alongside AI/ML engineers, leading technical execution on external collaborations.Your ProfileYou are passionate about pushing the boundaries of AI and biology. As an engineer rather than an analyst, you thrive on enhancing performance and efficiency while architecting robust systems. You are comfortable making rapid technical decisions and iterate quickly.Desired QualificationsExperience in bioinformatics, computational biology, or a related field.Proficiency in software engineering, particularly in developing scalable data processing pipelines.Strong understanding of multi-omics data and methods.Familiarity with GPU/CPU acceleration techniques.Excellent communication and collaboration skills.

Welcome to Demandbase:At Demandbase, we are pioneering the only pipeline AI platform designed to empower go-to-market (GTM) teams in automating growth at scale. Our platform offers a holistic view of data, insights, actions, and outcomes, allowing B2B enterprises to effectively align and implement their account-based GTM strategies with confidence. Trusted by thousands of businesses, we help maximize revenue, reduce waste, and streamline data and technology stacks—all within a single platform.Our commitment extends beyond technology; we invest deeply in our teams, culture, and the communities we serve. Recognized continually as one of the Best Places to Work in the San Francisco Bay Area by Fortune and as one of the 60 Best Companies to Sell For by Selling Power, our offices are strategically located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.Role OverviewAs a Principal AI Software Engineer, you will spearhead the design and implementation of AI-native platforms that will transform how Demandbase develops and scales intelligent systems. Acting as a technical beacon, you will lead the evolution from traditional SaaS architectures to autonomous, agent-driven systems powered by generative AI.This is a senior-level individual contributor position with significant influence across the enterprise. You will establish architectural directions, collaborate closely with Product and Engineering leadership, and ensure our infrastructure and platforms are equipped to support large language models (LLMs), agentic workflows, and real-time AI-driven capabilities at scale.The base compensation for this position is applicable to candidates based in San Francisco, CA. For candidates located elsewhere, the base compensation will align with the primary work location, as our compensation ranges are location-specific. Actual compensation packages will reflect a variety of factors unique to each candidate, including skill set, years of experience, and depth of expertise.

Are you ready to push the boundaries of your capabilities?At Coinbase, we are on a mission to enhance economic freedom globally. This ambitious goal challenges us to excel every day as we construct the future of the on-chain platform and the global financial system.We are looking for a unique individual who is not only passionate about our mission but also believes in the transformative potential of cryptocurrency and blockchain technology in modernizing the financial landscape. We seek someone eager to make a significant impact, thrives under pressure, collaborates with exceptional colleagues, and actively seeks constructive feedback to foster personal growth. We want someone who approaches the company's toughest challenges head-on.Our work culture is intense and may not be for everyone. However, if you aspire to shape the future alongside high-performing peers who expect the same from you, there is no better place to be.While many positions at Coinbase embrace a remote-first approach, we are not entirely remote. In-person participation is required periodically throughout the year. We organize team and company-wide retreats multiple times annually to enhance collaboration, connection, and alignment, and attendance is both expected and supported.As we strive to fulfill our mission, we are evolving into an "AI-first" organization, fundamentally rethinking the operations of a global financial institution. Artificial Intelligence is central to this strategy, enhancing our core processes while human experts provide high-level judgment as the system's "function calls".The RoleWe are in search of a visionary Principal Software Engineer with a focus on AI to serve as the technical guiding force for our AI Automation initiatives. You will be responsible for developing Agentic AI systems that drive multiple organization-wide projects, including their foundational elements, orchestration layers, and the tools necessary for every Coinbase team to automate their workflows. Reporting to the VP of Engineering, you will operate with a high degree of autonomy to define the essence of a fully AI-driven enterprise from the ground up.What You’ll DoArchitect Agentic Systems: Innovate and construct sophisticated multi-agent architectures that transition from simple interactions to autonomous execution and intricate reasoning.Tackle the "Hard Problems" of AI: Establish and implement reliable evaluation frameworks, eliminate hallucinations through rigorous data grounding, and build comprehensive solutions.

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We aspire to create a future where everyone can access the knowledge and tools necessary to harness AI for their individual needs and aspirations.Our team consists of scientists, engineers, and innovators who have developed some of the most renowned AI products, including ChatGPT and Character.ai, as well as open-weight models such as Mistral. We are also contributors to popular open-source initiatives like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking talented engineers to develop the libraries and tools that will expedite research at Thinking Machines. You will take charge of our internal infrastructure, which includes evaluation libraries, reinforcement learning training libraries, and experiment tracking platforms, all aimed at enhancing research velocity over time.This position emphasizes collaboration; you will engage directly with researchers to pinpoint bottlenecks and challenges. Your success will be measured by the trust researchers place in your systems and their enjoyment of using them.What You'll DoDesign, develop, and manage research infrastructure, including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities.Create high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessments.Establish systems for reproducibility, traceability, and stringent quality control throughout research experiments and model training processes. Implement monitoring and observability.Collaborate closely with researchers to identify obstacles and unlock new capabilities. Manage research tools like a product manager, actively seeking feedback and tracking user adoption.Work alongside infrastructure, data, and product teams to ensure seamless integration of tools across the technical stack.

At ZoomInfo, we are committed to accelerating careers. We foster a dynamic environment where innovation thrives, empowering you to produce your best work. Our team is dedicated, supportive, and celebrates victories together. With cutting-edge tools that amplify your contributions and a culture that nurtures your ambitions, you'll not only make an impact but also drive change swiftly.As a Principal Software Engineer on our Advertising, Company Intelligence, and Intent team, you will play a pivotal role in designing and implementing the foundational systems that drive our real-time marketing platform. You will work on high-throughput ad infrastructure, large-scale identity resolution, and intelligent systems enhanced by large language models (LLMs), pushing the boundaries of scalability, intelligence, and speed to achieve significant business outcomes.You will join a team engaged in a variety of ambitious and technically challenging projects—from APIs processing tens of billions of events daily to innovative buyer intent algorithms powered by LLMs and a unified B2B identity graph. Your strengths and interests will guide your assignment to initiatives where your impact can be maximized.This role is situated in a high-growth, high-ownership environment at the forefront of modern software engineering, data infrastructure, and applied AI.

About UsAt Twelve Labs, we are at the forefront of innovation, creating advanced multimodal foundation models that enable machines to understand videos in a human-like manner. Our groundbreaking approach to video-language modeling is setting new benchmarks, enhancing our ability to analyze and interact with diverse media formats.With an impressive $107 million in funding from leading venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as visionary AI leaders like Fei-Fei Li and Alexandr Wang, we are strategically positioned to drive global innovation. Our headquarters in San Francisco, along with a significant presence in Seoul, illustrates our commitment to reshaping the future of technology.We celebrate the unique journeys of every individual and believe that our diverse backgrounds fuel our creativity and innovation. We invite passionate individuals who share our mission to join us in transforming video understanding and multimodal AI.Role OverviewUnlike typical video engineering roles that focus primarily on enhancing human playback, at Twelve Labs, we engineer video for machine comprehension. This unique approach prioritizes AI model performance over mere perceptual quality. As the Principal Software Engineer for Video Engineering, you will architect and implement our video processing pipelines, overseeing the entire journey from byte ingestion through to playback. Your work will be pivotal in ensuring our systems are efficient, cost-effective, and tailored for AI-driven video intelligence at scale.Your ResponsibilitiesEnd-to-End Ownership: Lead the design and execution of video pipelines, covering ingestion, decoding, chunking, storage, and playback, applicable to both batch and streaming modes.Codec Expertise: Guide the development of decoding strategies, container format management, and codec implementations, ensuring optimal performance for various video types.

Join Cloudflare as a Principal Software Engineer specializing in Resiliency, where you will play a pivotal role in enhancing our systems' robustness and availability. Your expertise will contribute to building and maintaining resilient infrastructure that supports our global network, ensuring our customers receive uninterrupted service.In this role, you will work alongside a talented team of engineers to identify vulnerabilities, implement solutions, and innovate new strategies that enhance system performance and reliability. If you are passionate about software engineering and system resiliency, we invite you to apply!

Join Cloudflare as a Principal Software Engineer specializing in billing systems, where you will play a pivotal role in shaping our payment and invoicing solutions. You will collaborate with cross-functional teams to implement innovative solutions that enhance user experiences and streamline processes. If you're passionate about building scalable software and want to contribute to a fast-paced, innovative environment, we want to hear from you!

Your Contribution at Lila Sciences We are on the lookout for a Principal Software Engineer with full stack proficiency to become an integral part of our software team. You will play a key role in shaping the future of our AI-powered scientific platform. This position involves designing, constructing, and fine-tuning backend systems that support intelligent, data-centric applications. Your focus will be on creating user interfaces, services, high-performance APIs, and databases while ensuring the robustness of services that merge advanced AI frameworks with intricate scientific analytics and lab workflows. Collaboration is vital as you'll work alongside ML researchers, platform engineers, and scientists to build systems capable of managing varied workloads and scaling effortlessly. This includes working with structured SQL databases, data lake houses, and vector databases. If you are enthusiastic about crafting high-performance and sophisticated systems, we would love to connect with you! Your Responsibilities UI and API Development: Create secure, high-performance, and well-documented user interfaces and APIs that integrate seamlessly with AI applications. Database Design and Management: Develop schemas and oversee diverse data systems (including SQL, NoSQL, and Vector DBs) for peak performance and scalability. Application Implementation: Spearhead the development of both front-end and backend services with an emphasis on performance, maintainability, and reliability. System Optimization: Identify and resolve system bottlenecks to ensure high availability and low-latency performance across large-scale workloads. Cloud Services and Infrastructure: Utilize AWS services, Kubernetes, and cutting-edge DevOps practices to design and deploy production-ready systems at scale. Collaborative Development: Partner with ML researchers, engineers, and scientists to weave data pipelines, APIs, and cloud infrastructure into scientific workflows.

Join Discord, a platform that connects over 200 million users every month primarily through gaming. With over 90% of our users engaged in gaming activities, we facilitate over 1.5 billion hours of gaming conversations, enhancing the experience before, during, and after gameplay.The Infrastructure organization at Discord is fundamental to our user experience. We handle the real-time delivery of over 40 million events per second and manage the storage of trillions of messages, ensuring robust connections among our vast user base. As a Principal Engineer, you will play a pivotal role in guiding our infrastructure teams, shaping our technical vision, and maintaining the reliability of Discord at a massive scale.This position is ideal for a professional who excels at the intersection of advanced technical skills and organizational leadership. You will contribute to our infrastructure roadmap, address our most challenging technical dilemmas, and ensure our systems can efficiently scale to accommodate the next wave of users.

Principal Software Engineer Saviynt offers an AI-driven identity platform that effectively manages and governs access permissions for both human and non-human entities across all organizational applications, data, and processes. Our clients rely on Saviynt to protect their digital assets, enhance operational efficiency, and lower compliance expenses. Designed for the age of AI, Saviynt is at the forefront of helping organizations safely advance their AI deployments and utilization. As a recognized leader in identity security, we provide solutions that empower and protect some of the world’s leading brands, Fortune 500 companies, and government institutions. For more details, please visit www.saviynt.com. Role Summary In this pivotal role, you will provide technical leadership and extensive knowledge in complex engineering domains, guiding architectural decisions while ensuring scalability, reliability, and quality across key platform components. As a Principal Engineer, you will act as a technical authority, mentor senior engineers, and tackle the most intricate technical challenges. The Connectors team plays a crucial role in facilitating seamless integrations between Saviynt's Identity Governance platform and a multitude of enterprise applications by developing and maintaining robust, scalable connector frameworks. We are committed to ensuring reliable data synchronization, provisioning, and lifecycle management across diverse external systems, forming a vital foundation for the entire platform. What You Will Be Doing ● Design and architect scalable, high-performance connector frameworks for enterprise application integrations.● Define technical standards, best practices, and design patterns for connector development.● Drive architectural decisions for complex integration scenarios involving over 200 enterprise applications.● Evaluate and recommend new technologies, tools, and frameworks to enhance connector reliability and performance.● Lead technical design reviews and provide guidance on system architecture and design trade-offs.

Join Fractional AI as an Associate Principal of AI TransformationAt Fractional AI, we specialize in creating tailored generative AI software solutions designed to revolutionize businesses. Our clients include private equity-backed companies and Fortune 500 enterprises across diverse industries.As AI continues to evolve, every C-suite executive is grappling with the challenge of translating theoretical AI into practical applications. Our elite engineering team excels at developing comprehensive AI solutions, while our top-tier business team offers expert AI advisory services. We are on a fast-paced growth trajectory, positioned at the cutting edge of applied AI, collaborating with some of the world's largest private equity firms.We seek intellectually curious, collaborative professionals eager to make an impact from day one.Role OverviewAs an Associate Principal, you will serve as the intellectual backbone of our AI due diligence practice. Your responsibilities will include assessing disruption risks and identifying value creation opportunities across various industries, conducting management interviews, and presenting your insights to our private equity clients. Each quarter, you'll gain insights into 4-5 companies, honing a unique pattern recognition that is unmatched in the market.This exposure will pave your way to becoming a Principal at Fractional AI, the go-to advisor for private equity firms seeking AI guidance for their portfolio companies. In addition to diligences, you will collaborate with our Principals on active deals, proposals, and fostering relationships within the private equity sector. Within 6-12 months, you will be expected to begin leading your own deal pursuits.Note that this position does not have sales quotas but is designed to evolve into one.Key ResponsibilitiesLead end-to-end diligence processes. You will be fully dedicated to each engagement while the Principal and AI Architect manage multiple deals. As the primary point of contact, you will maintain a sharp point of view, prepare the team for each interview, and ensure the Principal is thoroughly prepared for client meetings. Your role encompasses desk research, generating points of view, conducting interviews, and overseeing deliverables.Assist with live deals and account management. You will work closely with Principals on ongoing sales efforts, participating in discovery calls, shaping proposals, and managing existing customer relationships.Develop your network within private equity. This role provides a unique opportunity to connect with key players in the private equity industry, enhancing your professional footprint.

Join Cloudflare as a Principal Software Engineer, where you will play a pivotal role in designing and implementing innovative software solutions. You will collaborate with cross-functional teams to enhance our platform's scalability, security, and performance, making a significant impact on our global user base.

Building Trust Through InnovationAt OneTrust, our mission is to foster innovation through the ethical application of data and AI technologies. We believe that trustworthy data should empower teams, not hinder them, propelling innovation forward. Since launching our groundbreaking platform for responsible data use in 2016, we have continually evolved, particularly with AI advancing the capabilities of data management. Our AI-Ready Governance Platform™ seamlessly integrates regulatory intelligence, automation, and cohesive governance processes, enabling organizations to thrive in the fast-paced AI landscape while ensuring robust governance to mitigate data misuse. Trusted by thousands globally, OneTrust is at the forefront of transforming data into a powerful asset for business and society.The OpportunityWe are in search of a Principal Software Engineer who is enthusiastic about problem-solving to join our dynamic AI Governance team at OneTrust. In this pivotal role, you will take charge of designing and developing innovative frontend and backend features, while also enhancing existing capabilities of our leading platform.

About the TeamOpenAI’s B2B Engineering team is committed to delivering our advanced technology to the world through our developer platform and enterprise products. We develop robust backend systems, APIs, and infrastructure that empower developers and organizations to leverage OpenAI's capabilities in production environments.Our expertise encompasses distributed systems, data infrastructure, platform services, and enterprise-grade features such as security, compliance, authentication, and reliability. We collaborate closely with product, research, design, infrastructure, and forward-deployed teams to transform pioneering AI functionalities into scalable and dependable products.About the RoleWe are seeking a Principal Software Engineer to architect and scale the systems that drive our developer and enterprise-facing products. You will take charge of the design for backend services and platform capabilities that safely and reliably integrate new AI functionalities into production at a global scale.This position covers a wide technical landscape, including distributed systems, APIs, databases, data pipelines, and secure enterprise infrastructure. You will play a pivotal role in shaping both the technical architecture and the product experience of our platform, maintaining high standards for performance, safety, reliability, and API design.ResponsibilitiesDesign, implement, and scale backend services, APIs, and infrastructure supporting OpenAI’s developer and enterprise products.Lead the architectural design of distributed systems, databases, and data pipelines that handle large-scale, high-reliability production workloads.Own key platform capabilities from initial technical strategy and design through implementation, launch, and ongoing operation.Carefully shape API design, treating interfaces as core product touchpoints while ensuring a top-notch developer experience.Create secure, reliable, and compliant systems that cater to both enterprise and developer needs.Work closely with product, research, design, infrastructure, and forward-deployed engineering teams to deploy new capabilities into production.Steer technical direction across complex challenges, making sound architectural trade-offs to balance speed, quality, and maintainability.Enhance engineering productivity by developing internal tools, platform abstractions, and systems that amplify efficiency across the organization.