Senior Staff Software Engineer, Platform Infrastructure

Verkada seeks a Senior Staff Software Engineer to join the Platform Infrastructure team in San Mateo, CA. This senior technical position focuses on shaping and improving the core infrastructure that underpins Verkada's products, with particular attention to performance and scalability. Key Responsibilities Lead the design, building, and ongoing support of platform infrastructure. Partner with engineering teams to deliver software solutions that enable the platform to grow and adapt. Spot opportunities to improve reliability and efficiency, and guide initiatives to address them. Collaboration Frequent collaboration with cross-functional teams is central to this role. The goal is to ensure that infrastructure evolves to meet the demands of both current and future products.

About UsAt Verkada, we are revolutionizing the way organizations safeguard their people and property through an integrated, AI-powered platform. As a frontrunner in cloud physical security, Verkada empowers more than 30,000 organizations globally—including over 100 Fortune 500 companies—to enhance their safety and operational efficiency via a unified software platform that offers solutions for video surveillance, access management, air quality monitoring, alarms, intercoms, and visitor management.Founded in 2016, Verkada has experienced rapid growth, boasting 15 offices and a dedicated team of over 2,200 employees.The RoleJoin our innovative cloud infrastructure team, where you will play a crucial role in designing, building, and maintaining highly scalable, reliable systems that power Verkada’s services. You will have the chance to work on exciting projects such as scaling microservice clusters, automating serverless deployments, adopting a full service mesh, and enhancing system observability. Take charge of a subdomain and lead collaborative efforts across teams.This position requires your presence at our headquarters located in San Mateo, CA, as we are dedicated to fostering a vibrant in-office culture.

About Wisdom AIAt Wisdom AI, we are on a transformative journey to simplify data interactions for businesses. Our mission is to make data insights accessible, enabling swift and informed decision-making. We prioritize simplicity and clarity, guided by core values that shape our culture:Default to Action: We thrive on speed and value progress.Customer-Obsessed: Our goal is to maximize customer value.One Team: We communicate openly and challenge ideas respectfully.Role OverviewWe are seeking a talented Backend/Infrastructure Engineer to join our founding team. You will play a pivotal role in developing machine learning and data pipelines designed for efficiency, security, and scalability. As a Platforms Engineer, you will focus on deployments, observability, and enhancing the production environment to better serve our customers.Key ResponsibilitiesOversee the observability and deployment processes within the Wisdom stack.Collaborate with software and sales engineers to establish effective production change management processes and tools.Utilize modern cloud infrastructure to create cost-effective and scalable systems.Engage with customers and founders to shape the engineering roadmap.Contribute to the development of the engineering culture and technology stack.

Skydio builds autonomous drones for a wide range of users, from utility inspectors and first responders to military personnel in the field. Based in San Mateo, California, Skydio combines artificial intelligence expertise with advanced hardware and software development, always focused on customer needs. About the Cloud Infrastructure Team The Cloud infrastructure group keeps Skydio’s platform available whenever and wherever it’s needed, whether for routine inspections or urgent disaster response. With thousands of drones deployed worldwide, the team continually improves how infrastructure is delivered and updated. Role Overview The Infrastructure Software Engineer manages and evolves Skydio’s Kubernetes fleet, making key software changes to support new and changing requirements. This hybrid role spans both infrastructure and software, offering the chance to shape product architecture, security, and performance. The position suits someone who enjoys working across the stack and tackling a mix of challenges. What You’ll Do Redesign and maintain a growing Kubernetes fleet and its supporting systems. Improve and expand the continuous delivery pipeline for Skydio’s products. Work with teams from hardware to cloud to introduce new platform features. Partner with security experts to strengthen data and drone protection measures. Introduce cost-saving strategies early in the product lifecycle to support long-term growth. What We’re Looking For At least 2 years of experience in infrastructure or software engineering. Hands-on knowledge of Kubernetes and cloud platforms. Strong analytical and problem-solving skills, with a collaborative approach. Drive for innovation and a high standard of quality in your work. Location: San Mateo, California, United States

Skydio, a premier drone manufacturer based in the United States, stands at the forefront of autonomous flight technology, paving the way for the future of drones and aerial mobility. Our diverse team merges profound expertise in artificial intelligence with top-tier hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We empower a wide array of drone users, from utility inspectors to first responders and military personnel, to leverage our cutting-edge technology in various scenarios.About the Team: The Skydio Cloud Infrastructure team is dedicated to ensuring the Skydio Cloud platform is consistently available to our users at critical moments, whether conducting routine inspections or supporting rescue missions during emergencies. With a global fleet of thousands of drones, we are committed to continuous improvement, emphasizing robust delivery and testing pipelines as vital components of our operations.About the Role: As a Senior Infrastructure Engineer focused on an innovative product, you will play a pivotal role in maintaining our Kubernetes fleet and enhancing the core product software to meet evolving use cases. This position blends software engineering and infrastructure management, allowing you to address product deficiencies directly rather than solely relying on automation. We seek a professional who thrives on the autonomy to influence architecture, security, and functionality across the entire stack.Your Impact:Re-engineer and sustain the expanding requirements of our Kubernetes fleet and its underlying infrastructure.Enhance and broaden the continuous delivery processes for our product.Collaborate across teams (hardware to cloud) to introduce new capabilities to the platform.Engage directly with security teams to refine practices and controls that safeguard our customers' data and drones.Lead cost-saving initiatives early in the product lifecycle to ensure scalability.

About the RoleThis position is pivotal in overseeing infrastructure across our entire tech stack. If it exists in the cloud, it falls under your purview. In the world of robotics, data is essential, and we require robust, scalable infrastructure to manage, store, and process vast amounts of this data. The APIs, services, and monitoring systems you will manage are critical to our operations.Your Responsibilities Include:Managing compute resources (both CPU and GPU) to efficiently process petabytes of data at high throughput.Overseeing the infrastructure required for data processing and storage.Ensuring the security and integrity of our infrastructure and data.You Will Excel in This Role If You Have:A minimum of 5 years of experience in managing large-scale cloud infrastructure using tools such as Kubernetes and Terraform, with a primary focus on Python services.Deep understanding of AWS services (or their equivalents) and their permission models.Strong perspectives on the effective use of coding agents within an infrastructure context.

Join IXL Learning, a premier innovator in personalized education solutions utilized by millions globally, as a Senior Software Engineer on our Unification Team. This impactful team is dedicated to enhancing technical excellence across IXL and our affiliated brands.In this pivotal role, you will spearhead large-scale, cross-functional engineering projects aimed at unifying our infrastructure, standardizing tools and processes, and developing reusable, scalable, and reliable systems. Your contributions will foster enhanced collaboration, expedite development cycles, and bolster product performance company-wide.We seek engineers who are passionate about tackling intricate technical challenges, excel in collaborative settings, and are driven by the mission to improve systems that empower millions of learners.

At Genesis Therapeutics, we are on a mission to revolutionize drug discovery by harnessing the power of machine learning, biophysical simulation, and computational chemistry. We are assembling a top-tier computational team and seek a passionate Infrastructure Engineer to contribute to the development of innovative medicines while playing a pivotal role in enhancing our AI platform.Your ResponsibilitiesCollaborate with the infrastructure team to sustain and expand our multi-cloud compute infrastructure that underpins ML model training, computational chemistry research, and ongoing drug discovery initiatives.Develop configuration and procedures for monitoring, resource allocation, and deployment automation to scale our autoscaling compute clusters for larger workloads.Enhance our orchestration scheduling framework to boost execution throughput, reliability, and compute utilization across diverse pipelines.Your QualificationsA minimum of 5 years of experience in building and maintaining large-scale cloud infrastructure, preferably in AWS or GCP.Strong proficiency in Python, Bash, Terraform, Ray, and Kubernetes.Experience in constructing and maintaining compute clusters for distributed ML training jobs utilizing 1,000+ GPUs is highly desirable.Hands-on experience with physical hardware and datacenter management is a plus.What We OfferAn opportunity to work on impactful infrastructure that accelerates the discovery of new medicines.Join a world-class, close-knit team of dedicated professionals across software, machine learning, computational chemistry, medicinal chemistry, and biology.Competitive salary and equity, along with comprehensive medical, dental, and vision insurance, and a 401(k) program.

About UsAt Verkada, we are revolutionizing how organizations safeguard their personnel and properties through an integrated, AI-driven platform. As a frontrunner in cloud-based physical security, we empower organizations to enhance safety and operational efficiency via a unified software solution encompassing video surveillance, access control, air quality monitoring, alarms, intercoms, and visitor management.Trusted by over 30,000 organizations globally, including more than 100 Fortune 500 companies, Verkada serves as the backbone of physical security for simpler management, intelligent oversight, and scalable implementations. Established in 2016, we have rapidly grown to include 15 offices and over 2,200 full-time employees.Your RoleTake ownership of the full-cycle development of on-device camera platform features utilizing C++ and Golang.Collaborate closely with the product team to transform requirements into scalable, production-ready solutions that align with product vision and customer expectations.Work in partnership with streaming, storage, and AI engineering teams to deliver features optimized for edge computing environments.Lead code reviews, oversee debugging efforts, and maintain coding standards to ensure a high-quality, maintainable codebase.Manage and coordinate regular over-the-air (OTA) releases, balancing delivery speed with system stability and reliability.

Join Our Team at MaximaAt Maxima, we are pioneering an innovative AI platform designed to automate enterprise accounting processes. Our solution effectively manages vast amounts of financial data, intricate accounting workflows, and guarantees robust execution that is both precise and dependable.We are addressing some of the most challenging issues in enterprise automation, and we have attracted a stellar engineering team comprised of industry experts from renowned companies like Robinhood, Glean, Google, Netflix, and Meta. Backed by prestigious investors such as Kleiner Perkins and Redpoint Ventures, we are proud to serve leading clients like Scale AI and Rippling.Your RoleAs a Software Engineer specializing in Data Infrastructure, you will be instrumental in developing and scaling systems that efficiently ingest and process large financial datasets. This foundational platform supports all accounting workflows and the agentic system. Your responsibilities will include designing our data lakes, constructing multi-tenant relational databases, and exploring optimal search engine and vector database configurations to enhance various workflows.

Roblox Corporation seeks a Senior Software Engineer focused on Data Infrastructure and Safety in San Mateo, CA. This position plays a key part in maintaining the reliability and performance of the Roblox platform, with a strong focus on user protection and a secure environment. Role overview This engineer will design and build scalable data infrastructure to support Roblox’s continued growth. The work centers on improving data quality and reliability, ensuring the platform remains robust as user numbers increase. Collaboration with teams from various disciplines is essential to identify, investigate, and resolve safety-related issues. System architecture decisions made in this role will directly influence user safety and experience. Responsibilities Develop and implement scalable data infrastructure solutions for the Roblox platform Enhance data quality and reliability across systems Work with cross-functional teams to address and resolve safety issues Contribute to architectural decisions that impact user safety and overall experience Requirements Significant experience in software development, data management, and system architecture Proven ability to design solutions that scale with the platform’s growth Strong collaboration skills, especially for addressing safety concerns across teams This role directly influences the safety and experience of millions of Roblox users, supporting the company’s ongoing commitment to a secure and engaging platform.

About Us:At Fireworks AI, we are at the forefront of creating next-generation generative AI infrastructure. Our cutting-edge platform is recognized for delivering the highest-quality models with unparalleled speed and scalability in inference. Independently benchmarked as a leader in LLM inference speed, we drive significant advancements through innovative projects, including our proprietary function calling and multimodal models. As a Series C company valued at $4 billion and backed by leading investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic, we are a dynamic team of builders, comprised of veterans from Meta PyTorch and Google Vertex AI.The Role:We are seeking a talented Software Engineer to join our AI Infrastructure team. In this pivotal role, you will contribute to designing and developing the foundational systems that power Fireworks AI’s generative AI platform. Your focus will be on building robust infrastructure and tools that guarantee the reliability, performance, quality, and availability of our AI systems.Our mission is to establish Fireworks AI as the most dependable and user-friendly generative AI platform globally. You will collaborate closely with our cloud infrastructure, product, and performance teams to create infrastructure solutions that connect our customers with the high-performance proprietary Fireworks inference engine.Key Responsibilities:Design and develop scalable backend infrastructure supporting distributed training, inference, and data pipelines.Build and maintain essential backend services, including LLM CI/CD pipelines, control planes, and model serving systems.Enhance performance optimization, cost efficiency, and reliability across compute, storage, and networking layers.Create frameworks and safeguards to ensure Fireworks AI maintains the highest model quality in the industry.Work alongside performance, training, and product teams to translate research and product requirements into effective infrastructure solutions.Engage in code reviews, technical discussions, and continuous integration and deployment processes.

Every day, millions of users engage with Roblox to explore, create, play, learn, and connect with friends through immersive 3D digital experiences crafted by our vibrant community of developers and creators. At Roblox, we are dedicated to building innovative tools and platforms that empower our community to bring their imaginations to life. Our vision is to revolutionize how people connect from anywhere in the world, on any device. We are on a mission to unite a billion individuals with optimism and civility, and we are looking for exceptional talent to help us achieve this goal. A career at Roblox means you will be instrumental in shaping the future of human interaction, tackling unique technical challenges at scale, and contributing to the creation of safer, more respectful shared experiences for all.With Roblox’s daily active user base growing rapidly, we are in search of a Principal Software Engineer to join our Ads Platform team. This team is fundamental to all advertising systems at Roblox, delivering billions of ads to millions of daily users while powering high-scale, high-throughput data systems that enhance ad personalization, ranking, and measurement.As a Principal Software Engineer on the Ads Platform team, you will set the technical direction and lead the team in its mission to reliably serve Roblox’s enormous scale. You will drive performance enhancements to our ad serving and delivery infrastructure while expanding our systems to support a variety of new and immersive advertising experiences. Your responsibilities will span multiple teams, requiring close collaboration with engineers across machine learning, backend, and analytics to shape the future of advertising infrastructure at Roblox.This role is ideal for individuals who excel in managing large-scale systems and data-driven applications and have a passion for developing inspiring, maintainable, and reusable code. Join our talented and rapidly growing team to make a significant impact at Roblox.This position reports to our Senior Engineering Manager and requires in-office work at our headquarters in San Mateo, CA from Tuesday to Thursday.

About LuminaiLuminai is revolutionizing healthcare operations by harnessing the power of technology to eliminate inefficiencies and streamline critical processes. In a sector where manual labor often obstructs innovation, our platform automates vital workflows, enabling healthcare professionals to concentrate on what truly matters: patient care. With significant backing from top-tier Silicon Valley investors, including General Catalyst and YCombinator, we are positioned at the forefront of healthcare technology.About the RoleAs a Senior Software Engineer at Luminai, you will play a pivotal role in developing user-centric applications that enhance our platform's functionality and user experience.What You'll DoLead complex application development projects, overseeing planning, design, and implementation throughout the technology stack.Collaborate on shaping the core product direction, utilizing system enhancements to deliver increased customer value.Enhance Luminai's tooling by contributing to both frontend and backend components.Promote software development best practices, including code reviews and testing, to ensure the delivery of high-quality, maintainable software.Design and implement robust API, authentication, and middleware solutions to bolster the platform's scalability and security.What We're Looking ForDemonstrated experience in delivering high-quality code on challenging projects.Extensive knowledge of JavaScript/TypeScript, React, and Python.A keen eye for detail, with a passion for maintainable and scalable frontend solutions.Experience across the entire stack, from backend to frontend, is highly desirable.

About the RoleAt Generalist, we are at the forefront of training expansive robot foundation models, leveraging cutting-edge GPU hardware, primarily from Nvidia, to execute distributed training tasks and experimental research. Our operations demand exceptional storage solutions and optimized data loading processes, necessitating the full utilization of cloud infrastructure alongside custom-built solutions.In this role, you will take charge of our inference infrastructure. Our robotic systems rely on a dedicated fleet of on-premises GPUs designed for demanding real-time computations and latency-sensitive applications within resource-constrained environments.Your Responsibilities:Manage and optimize our GPU compute fleets.Facilitate user-friendly access to GPUs for researchers, ensuring optimal utilization.Enhance ML data loading, transport, and storage systems in extensively utilized distributed environments.Oversee the orchestration of our robot inference fleets.You May Excel in This Position If You:Have experience managing large GPU fleets for large-scale, distributed training or inference.Possess significant expertise in using Slurm or Kubernetes for ML workload orchestration.Have developed high-scale ML data loaders and preparation systems.Understand the intricacies of ML hardware, storage, and networking systems.Are familiar with the Nvidia GPU ecosystem.

Join Our Innovative TeamAt Genesis Therapeutics, we are a dynamic and passionate group of drug discovery experts, deep learning researchers, and software engineers dedicated to revolutionizing biochemistry through AI. Our mission is clear: to uncover and develop transformative therapies for patients with severe medical conditions.Our AI team is at the forefront of creating foundational models for small molecule drug discovery. We conduct cutting-edge research that bridges machine learning, physics, and computational chemistry, while building resilient software systems capable of executing large-scale simulations and training advanced generative and predictive AI models utilizing our powerful cluster of thousands of GPUs and tens of thousands of CPUs.Your RoleWe are on the lookout for skilled ML infrastructure engineers to propel our machine learning research initiatives, particularly in generative modeling of molecular systems, which is vital to our overarching goals.In this position, you will spearhead the rapid advancement of our AI platform and infrastructure, enhancing performance, efficiency, and scalability to unprecedented levels. You will construct expansive distributed training and inference pipelines, essential MLOps tools and frameworks, and fine-tune GPU operations to accelerate ML model performance.Genesis fosters a collaborative and interdisciplinary environment, allowing you to work closely with our talented engineers, researchers, and scientists.Your ResponsibilitiesDrive engineering initiatives aimed at the continuous enhancement of our AI platform, focusing on the rapid development of scalable and robust distributed infrastructures for ML training, inference, and evaluation.Facilitate model training and deployment across various clusters and cloud environments, optimizing for throughput and cost-effectiveness.Maximize the efficiency of ML models and other workloads in terms of latency, throughput, and memory usage, particularly through GPU performance engineering, pushing the boundaries of current hardware capabilities.Contribute to the long-term strategic vision for Genesis’ infrastructure platform.Your ProfileA strong engineering background with a focus on machine learning infrastructure.

About ZaimlerIn a world where AI agents struggle to reason over fragmented data, Zaimler emerges as the solution. Our mission is to unify disparate enterprise data across countless systems, providing a shared context, meaning, and structure. This transformation is essential as we transition from traditional copilots to fully autonomous agents, necessitating a new infrastructure layer that we are dedicated to building.At Zaimler, we are pioneering context infrastructure for the agentic era—a platform that autonomously discovers domain knowledge, maps intricate relationships, and equips AI agents with the semantic understanding required for precise and scalable operations. Envision knowledge graphs that facilitate real-time inference, tailored for systems that need to reason rather than merely retrieve data.Founded by industry veterans Biswajit Das (former VP Engineering at Truera and Chief Architect at Visa) and Sofus Macskassy (ex-Director of Engineering at LinkedIn), who notably built one of the largest knowledge graphs in production, Zaimler is a small, senior team at the seed stage, collaborating with major enterprises in sectors like insurance, travel, and technology. If you are passionate about creating the infrastructure that will support the next decade of AI advancements, we are eager to connect with you.The RoleWe are in search of a talented Data Infrastructure Engineer to establish the foundational distributed data layer that will power our semantic platform. In this role, you will be responsible for designing, building, and scaling systems that enable high-throughput data ingestion, transformation, and real-time processing.

At Genesis Therapeutics, we are at the forefront of revolutionizing drug discovery by harnessing the power of machine learning, biophysical simulations, and computational chemistry. We are actively seeking a passionate Infrastructure Engineer to join our elite computational team. In this role, you will contribute to the development of groundbreaking medicines and play a pivotal part in the expansion of our advanced AI platform.Your Role:Collaborate with our infrastructure team to enhance and maintain our extensive multi-cloud compute infrastructure, which is vital for ML model training, computational chemistry research, and drug discovery initiatives.Develop and implement configurations and procedures for monitoring, resource allocation, and deployment automation to adapt to the growing demands of our autoscaling compute clusters.Contribute to the orchestration scheduling framework to boost execution throughput, increase reliability, and optimize compute utilization across diverse pipelines.Your Qualifications:Minimum of 5 years of experience in building and maintaining scalable cloud infrastructure, particularly with AWS or GCP.Proficient in Python, Bash, Terraform, Ray, and Kubernetes.Experience with distributed ML training jobs on compute clusters with over 1,000 GPUs is highly desirable.Hands-on experience with physical hardware and data center management is a plus.What We Offer:An opportunity to engage with impactful infrastructure that accelerates the discovery of new medicines.Be part of a world-class, close-knit team of dedicated professionals across software, machine learning, computational chemistry, medicinal chemistry, and biology.Competitive salary and equity options, alongside comprehensive medical, dental, and vision coverage, plus a 401(k) retirement plan.

Join Notable as a Staff Software Engineer specializing in Cloud Infrastructure and Applications. In this pivotal role, you will lead the design, development, and implementation of scalable cloud solutions that drive our innovative projects forward. Collaborate with cross-functional teams to optimize application performance and enhance user experience.

Speechify seeks a Software Engineer, Platform, to strengthen its text-to-speech technology. This position is located in San Mateo, CA. Role focus This role centers on building and maintaining core platform components that power Speechify’s products. The work directly supports users who rely on text-to-speech features in various applications. Key responsibilities Develop and improve platform solutions that enable Speechify’s text-to-speech capabilities Support product teams by delivering reliable infrastructure for a range of user-facing applications