Lead Deployment Engineer Jobs

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry! What You'll Be Doing: Design and roll out advanced test methodologies on NVIDIA’s next-generation silicon platforms. Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression. Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology. Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment. Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks. Improve cross-team communication, work, and handoffs. Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency. What We Need To See: BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD in DFT or related domains. Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools. Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development. Strong programming and scripting skills. Excellent written and or

Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services. Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation. Configure and maintain Kubernetes clusters, ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployment, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement infrastructure security best practices. Support compliance and audit requirements through documentation and monitoring. Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes. Document processes in Confluence, track work in Jira, and contribute to knowledge sharing. Write root cause analysis and incident post-mortems to prevent future issues. Required Skills & Experience: 8+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong expertise with AWS and Azure services. Experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Rack Power Engineer with deep expertise in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. You will own rack power solutions—including power shelves, AC/DC rectifiers, power supply units (PSUs), power management controllers (PMCs), and high-current distribution—from requirements and supplier development through deployment. You will also monitor fleet rack power health, lead debugging and root-cause investigations, and drive improvements into hardware, firmware, and qualification coverage. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure. Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits. Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs. Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through

Leidos is seeking a Test and Integration Engineer to lead cutting-edge testing and validation efforts within the Undersea Systems Division (USD) . This role is a unique opportunity to drive innovation in testing underwater vehicle systems, maritime sensors, subsea telemetry, and ISR solutions that support critical defense and national security missions. You'll contribute to a multidisciplinary team focused on testing, integrating, and validating advanced maritime technologies, ensuring system reliability and performance from prototype design to full-scale system deployment for ongoing Navy missions. Leidos’ Undersea Systems Division is a recognized leader in C4ISR technologies, delivering innovative, mission-critical solutions across sensor networks, unmanned systems, and tactical platforms . We’re known for achieving “industry firsts” in the most challenging maritime domains. Join us and be part of a world-class team delivering unmatched solutions for today's most pressing maritime missions. Why Join Us? Make an Impact : Your work will directly support U.S. maritime dominance and national security. Lead Innovation : Be at the forefront of applying innovative technology and autonomy to real-world maritime systems. Work with Experts : Collaborate with a top-tier team of engineers, scientists, and technicians located across the U.S. Shape the Future : Influence both the strategic and tactical direction of next-generation subsea technologies. What You’ll Do Test and Validate: Write, develop and execute comprehensive test plans, procedures, and protocols to ensure system functionality, reliability, and compliance with requirements. Integrate systems and conduct hands-on testing: Write, develop, and execute integration plans to bring complex systems together. Perform field</b

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Global Engineering Labs (GEL) Site Lead is responsible for leading all aspects of laboratory operations at the San Jose site. This role partners closely with engineering customers, facilities teams, safety organizations, and business partners to ensure laboratories are safe, reliable, and prepared to support current and future technology needs. Key responsibilities include: Lead daily site operations and laboratory support activities. Develop and maintain strong relationships with engineering customers and partners. Drive a culture of safety, operational excellence, accountability, and customer service. Manage laboratory space utilization, equipment onboarding, and infrastructure planning. Partner with Facilities, EHS, Engineering, and other organizations to support site projects and operational needs. Lead site improvement initiatives focused on efficiency, service delivery, and customer experience. Oversee asset lifecycle activities including equipment deployment, relocation, and retirement. Manage operational priorities, resources, budgets, and project execution to achieve business objectives. Coach, develop, and support team members while fostering an inclusive and collaborative work environment. Utilize data, metrics, and continuous improvement practices to enhance operational performance and decision making. The successful candidate is a collaborative leader with strong operational, communication, and problem-solving skills who can effectively ba

About the Team The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role Description As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, and operatio

About the Team The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role Description As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, and operatio

About the Job Set the performance direction behind large-scale AI systems built for real deployment. As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture. You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities. You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete. This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization. Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale. · Proven technical leadership across complex performance-engineering or system-architecture initiatives. · Expert C++ and Python skills, including reliable tools or performance-sensitive software. · Expert understanding of compute, memory, communication and scaling behavior in distributed systems. · Ability to define benchmarks, measurement practices or optimization sta

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We’re looking for a technically strong, hands-on Manager of Technical Program Management to lead the TPM team supporting Nuro’s AI Platform organization. AI Platform builds the offboard and onboard system that accelerate autonomy development and enable reliable deployment. Its work spans the data flywheel for developing AI systems—from data collection and data mining through training, simulation, and evaluation—as well as onboard firmware, middleware and services, cloud services, and fleet operations tooling. You will develop a team of TPMs and drive complex programs across engineering, product, operations, and external partners. This role combines people leadership with direct ownership of critical programs: understanding the underlying technical problems, shaping clear plans, resolving dependencies, and driving decisions through implementation. Success means faster development, more reliable systems, and readiness to dep

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About the role We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help deve

About the Team OpenAI’s 1P Hardware Systems team operates at the intersection of Hardware Engineering, Infrastructure, Supply Chain, Manufacturing, Deployment, and Finance to translate infrastructure demand into an executable systems plan. The Planning Lead connects system demand and deployment timing to site and configuration requirements, power availability, XPU needs, hardware supply commitments, manufacturing capacity, and site readiness. About the Role OpenAI is seeking a 1P Hardware Systems Planning Lead to own the integrated demand, supply, and deployment plan for our 1P AI infrastructure systems. This role will connect infrastructure demand and site power availability to system configurations, XPU requirements, and hardware supply commitments—creating a single, actionable view of whether our deployment plan can be met. You will establish the planning mechanisms that allow teams to see what changed, understand the impact, and act quickly when demand, supply, configuration, site readiness, or power timing moves. You will work across Hardware Engineering, Infrastructure, Supply Chain, Strategic Sourcing, Manufacturing, Deployment, and Finance to identify gaps early and drive recovery plans to closure. This is a highly cross-functional role for someone who combines systems-level thinking, strong analytical judgment, and rigorous program execution. The ideal candidate can turn complex and changing inputs into a clear operating plan, surface the decisions that matter, and drive accountability across teams without relying on formal authority. Success also requires strong communication judgment: the ability to align cross-functional teams, brief leadership at a concise and decision-oriented level, and go deep into the underlying assumptions, dependencies, risks, and recovery plans when needed. Responsibilities Integrated Planning - Own the integrated planning process for 1P hardware systems, connecting system demand, deployment timing, site and configuration require

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The Test Solutions Engineering (TSE) organization develops and deploys advanced test solutions that enable high-quality semiconductor manufacturing across Micron’s global network. Within TSE, the Key Equipment Group (KEG) drives innovation, standardization, and operational excellence for wafer probing technologies, test equipment, and probe card solutions. The team partners closely with manufacturing, quality, engineering, and supplier organizations to improve performance, accelerate technology deployment, and deliver scalable manufacturing solutions! Position Overview As a TSE KEG Equipment Engineer, you will lead the development, qualification, and deployment of wafer probers, testers, probe cards, and supporting manufacturing technologies. You will collaborate with global cross-functional teams and external suppliers to improve equipment capability, efficiency, reliability, and product quality while enabling next-generation semiconductor technologies. This role offers the opportunity to drive innovation, solve complex technical challenges, and deliver measurable impact across Micron’s worldwide manufacturing operations. Responsibilities Lead the development, evaluation, qualification, and deployment of wafer probers, testers, probe cards, and related manufacturing technologies Define equipment specifications, design requirements, and qualification strategies that support global manufacturing and

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from