Senior Hardware Engineer - GPU & AI Infrastructure

Join the dynamic world of Roblox, where millions engage daily in exploring, creating, learning, and connecting through immersive 3D experiences crafted by a global community of developers and creators.At Roblox, we are committed to building innovative tools and platforms that empower our community to realize their creative visions. Our mission is to transform how individuals connect, regardless of geographical boundaries, and across any device. We strive to foster connections among a billion users with positivity and respect, and we are actively seeking exceptional talent to help us achieve this goal.A career at Roblox is an opportunity to influence the future of human interaction, tackle unique technical challenges at scale, and contribute to creating safer, more respectful shared experiences for everyone.As a vital member of our Infrastructure Foundation Hardware Engineering team, you will lead the charge in delivering a reliable, high-performance, and cost-effective infrastructure that supports the world’s play. In this specialized role, you will act as the technical lead for our GPU and AI accelerator ecosystem, managing the entire lifecycle of GPU hardware—from architectural evaluation and firmware qualification to large-scale fleet integration and performance optimization. Your expertise will ensure that Roblox's extensive rendering and machine learning workloads operate on the most efficient and stable hardware available.Your Responsibilities Will Include:Architect & Prototype: Develop next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware.GPU Optimization: Lead the integration, performance testing, and debugging of GPUs within our fleet, focusing on hardware-level optimizations, driver tuning, and thermal/power management.Validation & Certification: Create and implement comprehensive evaluation and stress-testing strategies for GPU-centric server platforms to meet Roblox's unique requirements for real-time rendering and low-latency AI inference.Firmware & Systems: Spearhead firmware qualification (BIOS/BMC) and troubleshooting, along with implementing automation systems to monitor GPU health and manage firmware updates.Vendor Collaboration: Collaborate with technology partners to enhance our GPU and AI infrastructure.

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.

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.

About Us:At Fireworks AI, we are pioneering the future of generative AI infrastructure. Our innovative platform provides top-tier models with unmatched inference speed and scalability. Recognized as a leader in LLM inference, we are committed to driving transformative advancements through projects like our proprietary function calling and multimodal models. As a Series C company valued at $4 billion, we are proudly supported by esteemed investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our dynamic team, comprised of experts from Meta PyTorch and Google Vertex AI, is united in our ambition to redefine AI technology.The Role:As a Member of the Technical Staff within our Research team, you will explore the frontiers of generative AI, enhancing LLMs and multimodal systems through foundational research. Your contributions will improve model efficiency, accuracy, and scalability, directly influencing our high-performance AI infrastructure. Collaborating with leading experts in deep learning, distributed systems, and optimization, you will translate groundbreaking research into practical applications. Your work will empower some of the world's foremost companies in their AI development efforts.

Welcome to Moonlake, where we harness AI to create immersive world simulations.Our Mission: To enhance throughput, latency, and cost efficiency—deploying our models 2–10 times faster and more affordably, all while maintaining quality.Key Responsibilities:Optimize GPU performance through CUDA/Triton kernels, FlashAttention, paged attention, and CUDA Graphs.Manage the serving stack, including TensorRT-LLM/Triton Inference Server, vLLM/TGI; implement continuous batching and on-GPU KV reuse; explore speculative decoding/medusa and mixture-of-agents routing.Enhance parallelism via FSDP/ZeRO, TP/PP/expert parallel, and fine-tune NCCL.Implement quantization/PEFT techniques such as AWQ/GPTQ/FP8 and LoRA/DoRA serving.Oversee systems like Ray/k8s/Argo, ensuring observability with Prom/Grafana/OpenTelemetry, autoscaling, A/B testing infrastructure, and canary deployments with rollback capabilities.Ideal Candidate Profile:Candidates should have prior experience in infrastructure-heavy startups, particularly at companies like Databricks or Roblox. We are dedicated to fostering a collaborative, in-person team environment in San Mateo.

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.

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.

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.

About Us:At Fireworks AI, we are at the forefront of developing innovative generative AI infrastructure. Our platform is recognized for delivering top-tier models and the industry's fastest, most scalable inference capabilities. As an industry leader in LLM inference speed, we are pushing boundaries with groundbreaking projects, including our own function calling and multimodal models. Fireworks is a Series C startup valued at $4 billion, supported by premier investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our passionate and collaborative team is comprised of seasoned professionals from Meta PyTorch and Google Vertex AI.The Role: We are seeking a Training Infrastructure Engineer to design, build, and optimize the infrastructure that underpins our large-scale model training operations. Your contributions will be pivotal in establishing high-performance AI training infrastructure. You'll work closely with AI researchers and engineers to develop robust training pipelines, optimize distributed training workloads, and guarantee the reliability of model development.

Skydio stands at the forefront of drone technology, leading the US market and pioneering advancements in autonomous flight—an essential component for the future of aerial mobility. Our dedicated team melds exceptional expertise in artificial intelligence with cutting-edge hardware and software development, paired with unmatched operational excellence and a commitment to customer satisfaction. We strive to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.About the Role:We are on the lookout for a dynamic and adaptable Senior Hardware Test and Reliability Engineer to spearhead our safety and reliability initiatives. In this role, you will develop and implement comprehensive test plans that facilitate swift design iterations and ensure robust validation of our state-of-the-art autonomous flying machines, catering to various enterprise, public safety, and defense applications.Your Impact:Collaborate with product development, embedded software, quality assurance, manufacturing, and suppliers to design and execute thorough testing strategies from the initial prototyping phase through to mass production, ensuring early detection of potential failure modes in complex electro-mechanical autonomous systems.Lead the technical test strategy and take ownership of validation planning, execution, and risk management throughout the lifecycle from early prototypes to volume production.Work closely with electrical, mechanical, and software engineering teams to conduct failure analysis, identify root causes, implement corrective measures, resolve system challenges, and assist in developing process and design mitigations.Participate in design reviews and provide essential design for reliability insights to mitigate risks from the first prototypes through to customer delivery and beyond.Demonstrate a strong interest in contributing across multiple domains to ensure that Skydio products are the preferred choice in demanding environments.

Role Overview Skydio is seeking a Hardware Technician in San Mateo, California. This role supports the design, development, and testing of advanced drone hardware. The work helps maintain high standards for both quality and performance. What You Will Do Collaborate with engineers and fellow technicians on hardware projects Assist in building, assembling, and testing drone components Help verify that hardware meets quality and performance benchmarks Work Environment Join a team focused on innovation and hands-on problem solving. The work involves close collaboration with technical staff in a setting that values new ideas and practical solutions.

Who We AreVerkada is revolutionizing the way organizations protect their personnel and premises through an advanced, AI-driven platform. As a frontrunner in cloud-based physical security, Verkada empowers businesses to enhance safety and operational efficiency by providing a unified software solution that encompasses video surveillance, access control, air quality monitoring, alarms, intercom systems, and visitor management.With over 30,000 clients globally, including more than 100 Fortune 500 companies, Verkada is the trusted partner for organizations seeking streamlined management, smart control, and scalable security deployments. Established in 2016, we have experienced rapid growth, boasting 15 offices and a dedicated workforce of over 2,200 employees.About the RoleAs a Hardware Engineering Program Manager within our innovative Hardware team, you will spearhead the design and implementation of state-of-the-art hardware initiatives. Your leadership will bridge engineering, manufacturing, operations, and product management as you guide cross-functional teams from prototype development to full-scale production. This is a full-time, on-site position based in our San Mateo, CA office.

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.

Skydio stands at the forefront of the drone industry as a pioneering US company and a global leader in autonomous flight technology. Our mission is to revolutionize aerial mobility by delivering cutting-edge solutions that empower a diverse range of users, from utility inspectors to first responders and military personnel. Our team unites extensive expertise in artificial intelligence, innovative hardware and software development, operational excellence, and a strong commitment to customer satisfaction.About the Role:We are on the lookout for a dynamic and experienced Senior Technical Recruiter who will play a pivotal role in elevating Skydio’s Hardware Operations team through dedicated, hands-on recruitment of exceptional talent across various domains including Manufacturing Engineering, Supply Chain/Logistics, and Production. While your primary focus will be on Hardware Operations, your expertise will also be invaluable in other R&D sectors such as Flight Test and Hardware Engineering. If you are passionate about scaling innovative startup teams and want to contribute to the creation of the world's leading flying robot company, we want to hear from you.NOTE: We have transitioned back to the office three days a week. This position will be based at our headquarters in San Mateo, CA, as well as at our manufacturing facility in Hayward, CA.Your Impact:As the principal Talent Acquisition Partner for our Hardware Operations division, you will oversee end-to-end recruitment for various teams, hiring managers, and executives. Your responsibilities will include:Serving as the leading recruiting expert and trusted advisor for hiring managers and interview teams within your functional areas.Proactively sourcing top-tier talent, building high-quality candidate pipelines, crafting engaging candidate experiences, and securing outstanding hires.Developing and strategically leveraging a thorough understanding of Skydio’s unique offerings to attract, engage, partner with, and close top talent.Facilitating interview and decision-making processes to maintain stringent hiring standards.Cultivating collaborative relationships with Hiring Managers, People Operations, and Compensation teams to drive successful recruitment outcomes.Identifying and addressing bottlenecks, streamlining processes, mentoring junior team members, and contributing as a core member of a dedicated startup recruiting team.

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.

Every day, millions of users engage with Roblox, diving into immersive 3D experiences crafted by our vibrant global community of developers and creators.At Roblox, we empower our community with innovative tools and platforms that bring their imaginations to life. Our mission is to transform how people connect from anywhere, on any device, fostering a world of optimism and civility. We are seeking exceptional talent to help us reach our goal of connecting a billion people.Embarking on a career at Roblox means shaping the future of human interaction, tackling unique technical challenges at scale, and creating safer, more respectful shared experiences for all.As our Ads business rapidly expands, we are developing a large-scale machine learning infrastructure aimed at delivering impactful performance ads to our user base and substantial value to our advertisers.In the role of Senior Machine Learning Infrastructure Engineer within our Ads ML Infra team, you will design and implement scalable, reliable, and high-performance infrastructure that underpins machine learning systems throughout our organization. You will work with vast datasets, handling hundreds of billions of engagements while redefining how we deliver performance ads to millions.

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.

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 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 ZaimlerZaimler is at the forefront of transforming the way enterprise data is utilized in the era of AI. Our mission is to eliminate the fragmentation of data across disparate systems, providing AI agents with the contextual understanding necessary to operate efficiently and effectively. We are pioneering an innovative infrastructure layer that will redefine the capabilities of autonomous agents, enabling real-time inference through advanced knowledge graphs.Founded by industry veterans Biswajit Das and Sofus Macskassy, Zaimler is a seed-stage startup focused on delivering cutting-edge solutions to major enterprises across various sectors, including insurance, travel, and technology. If you're passionate about building the foundational infrastructure for the next generation of AI, we invite you to join our small, experienced team.Your RoleAs our Founding Cloud Infrastructure Engineer, you will take the lead in designing, constructing, and managing the cloud infrastructure that underpins Zaimler’s semantic platform. This is not a maintenance position; it’s an opportunity to create a robust system from the ground up that will shape the future of our operations.