Engineering Group Lead Jobs

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection en

At Zoox, we’re redefining mobility by building an autonomous ride-sharing experience that’s safe, efficient, and unlike anything on the road today. We’re not just building a car, we’re redefining human mobility. By developing an autonomous ride-sharing experience that is safe, efficient, and entirely reimagined, we are creating unique vehicles that will shape the future of transportation for generations to come. As a Staff Vehicle Attributes Engineer, you’ll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life.You will sit at the heart of our Vehicle Integration team, leading attribute team, serving as a technical linchpin between vision and execution. You won't just be managing requirements, you will be driving cross-functional decisions and resolving critical issues alongside department and engineering leadership to ensure our platform is world-class. In this high-impact role, you will: Be the Outward Voice: Act as the primary representative for Vehicle Integration during high-stakes program reviews and in collaborations with inter-departmental customers. Lead with Authority: Work alongside world-class experts in robotics, controls, and vehicle engineering to champion every element of the Zoox experience. Define Excellence: Ensure every vehicle meets the highest possible standards for performance, comfort, and safety, bridging the gap between complex technical constraints and an uncompromising passenger experience. In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox’s next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox’s next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering discipli

About the Team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer (ADE) in the OpenAI for Global Affairs team, you’ll help government and non-profit agencies transform their organization through solutions such as automated content generation, contextual search, and novel applications that make use of our newest, most exciting models and technology. About the Role OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. The Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and - in collaboration with our colleagues and external stakeholders - help shape policy guardrails, industry standards, and safe and beneficial development of AI tools. We are looking for an AI Deployment Engineer to collaborate directly with our Global Affairs team to help public sector actors unlock the benefits of OpenAI tools and products, aiming to broadly benefit humanity. This includes supporting a workforce organization deploying Certifications programs or advising a government partner on responsible implementation practices. Your role will integrate technical expertise with our mission to ensure that artificial general intelligence benefits all of humanity. In this role, you will: Technical Enablement & Deployment Serve as the primary technical advisor for Global Affairs partnersh

About the team The Applied AI Engineering, Sign in with ChatGPT team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an Applied AI Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to help pa

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. Responsibilities: Drive Materials Cost Strategy and Goals Define and guide short- and long-term materials cost strategies aligned with manufacturing priorities and business goals Lead initiatives across multiple functions to identify, prioritize, and deliver cost reduction opportunities with measurable results Provide technical leadership in handling expenditures related to materials, guiding priorities and decisions across sites Define program scope, goals, timelines, and resources with collaborators Establish and improve methodologies, governance, and tools to scale and sustain cost programs Technical Leadership and Program Management Structure and lead programs across multiple initiatives, including prioritization, breakthroughs, tracking, and risk management Develop cases, execution plans, and provide regular updates to partners and leadership Identify technical and operational challenges early and drive timely solutions Maintain effective governance and review cadence to support decisions and execution Partner with sites, engineering, and procurement teams to convert ideas into implemented solutions and realized savings Cross-Site Leadership and Influence Act as a subject matter resource in materials cost and value engineering, providing mentorship to collaborators and senior leaders rs Strengthen alignment across sites by sha

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the facility operations team, you will design, build, and activate some of the world’s most technically advanced facilities and data centers. As an electrical engineer, you will design and build power systems that directly contribute to new infrastructure projects. You will be able to operate with autonomy to solve diverse and complex problems, excel at managing multiple projects simultaneously, and work in a dynamic, fast-paced environment. You will work with other MEP engineers, trade partners, and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Work in a team environment with other engineering disciplines to provide detailed electrical design and specification for the installation of the following equipment and systems: Electrical power distribution systems. Switch-gear and motor control centers. Exterior and interior lighting. Ground support system controls and ladder logic. Uninterruptible power supply (UPS) units. Standby and emergency generators. Automatic transfer switches. Power monitoring hardware and software. Data/ph

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the facility operations team, you will design, build, and activate some of the world’s most technically advanced facilities and data centers. As an electrical engineer, you will design and build power systems that directly contribute to new infrastructure projects. You will be able to operate with autonomy to solve diverse and complex problems, excel at managing multiple projects simultaneously, and work in a dynamic, fast-paced environment. You will work with other MEP engineers, trade partners, and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Work in a team environment with other engineering disciplines to provide detailed electrical design and specification for the installation of the following equipment and systems: Electrical power distribution systems. Switch-gear and motor control centers. Exterior and interior lighting. Ground support system controls and ladder logic. Uninterruptible power supply (UPS) units. Standby and emergency generators. Automatic transfer switches. Power monitoring hardware and software. Data/ph

About the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an Applied AI Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. 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 the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and help partne

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and prod

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a Central Planning Modeling Engineer, you will be a central contact for the manufacturing network, calculating and presenting capital impact of process changes to senior leaders in Manufacturing and R&D . You will be responsible for connecting many parts of the business in order to drive the execution of manufacturing and cost saving processes, including supply change, finance, engineering, procurement, production and planning. Innovation is highly valued at Micron, and you will have the opportunity to develop new tools to expedite, optimize and refine the planning and reporting processed used across the network. The ability to understand and effectively communicate the capital and operational impacts of manufacturing changes is important. Attention to detail and ability to work in where information is ambiguous will be extremely valuable Responsibilities Lead network tool utilizations strategies and benchmark performance to optimize the company’s deployed capital Lead and communicate improvement and implementation plan to all relevant levels and functions in Manufacturing Optimize capacity of install equipment and lead sites and tool level optimizatio

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. Job Summary This team member will focus on performing semiconductor design engineering assignments including engineering and designing chip layout circuits, circuit checking, documenting specifications, and modifying and evaluating semiconductor devices and components. Typically responsible for projects, or portions of projects, to design, fabricate, optimize, and validate memory circuit solutions while supporting advanced semiconductor technology development. Responsibilities Design, layout, and optimize memory circuits with a focus on performance, power, area, and manufacturability. Perform circuit simulation and analysis using industry-standard tools such as SPICE and Verilog to validate circuit functionality. Develop and support schematic blocks including memory arrays, control logic, address decoders, datapaths, and internal test circuitry. Evaluate design architecture tradeoffs and incorporate layout parasitics to ensure robust circuit operation and silicon success. Drive innovation through test chip development, silicon validation, and AI-enabled improvements to design methodologies and workflows. Minimum Qualifications Bachelor’s degree in Electrical Engineering (BSEE) or higher, or equivalent experience. Basic understanding of memory array architectures, circuits, and operation. Strong understanding of circuit simulation setup, analysis, and debug techniques. Strong written and verbal communication skills with the ability to convey technical concepts

About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from individual customers to early-stage startups and established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role We are seeking a Support Operations Lead who combines operational leadership, systems thinking, vendor management, and hands-on execution. You’ll own service health, automation programs, partner and vendor management. In addition to delivering high-quality service, you’ll identify opportunities to reduce manual work, experiment with tools and help operationalize AI across support at scale. This is not a traditional support operations lead role. We’re looking for someone to help us define the future of support, who thrive at the intersection of team/project management, systems building, data science/engineering, and with deep craft experience in the support operations space. 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. 1-2 weeks of travel per quarter may be required. In this role, you will: Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains. Lead multi-site partner management, including co

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Team: Plaid is becoming an AI-first company, and AI Tooling is being built from the ground up to extend AI-native tooling to non-engineers at Plaid. Tools built for engineers assume things non-engineers don't have: local toolchains, monorepos, engineer credentials, PR-based workflows. That mismatch means Ops, Support, and other teams can't easily inherit what we build for engineering. They need their own path and we're building that path. Role: As a Senior Software Engineer on AI Tooling, you will build and operate internal systems that empower non engineering teams to automate their workflows with AI. You will own the product and platform layer for internal tools, including the constraints and infrastructure that keep those tools safe and maintainable. There's no existing playbook for this at Plaid. You will define what the right non-eng AI surface looks like, ship its first durable versions, and partner closely with internal users to make sure it solves real problems. You will act as the engineering point of contact embedded with non-engineering teams, running discovery and translating their operational needs into shipped software. What you build here becomes how non-engineering

The Opportunity Zoox's mission is to build a purpose-built robotaxi that gives the world a better way to ride. Every line of that autonomous driving software has to be compiled, tested, and validated reliably at scale before it ever reaches the road. You'll join the team that owns the build infrastructure making that possible: maintaining and evolving our Bazel-based build system in a large, multi-language monorepo used by hundreds of engineers. As a key contributor, you will take ownership of the build ecosystem supporting our rapidly expanding, safety-critical autonomous vehicle software. This role entails configuring and upgrading compilers, profiling and optimizing build pipelines, and serving as the primary expert for all build-related inquiries. While we have established a robust foundation using Bazel in a monorepo along with a remote build farm and cache, our goal is to elevate this into a world-class development experience. We are searching for a passionate engineer with a strong curiosity for optimizing build speeds and a commitment to empowering developers through metrics and advanced tooling within our fast-paced culture. In this role, you will: Own and evolve the core Bazel build ecosystem that every engineer at Zoox relies on to compile code and run tests Directly accelerate engineering velocity by minimizing Bazel overhead, streamlining incremental builds to reduce iteration times, and working with our vendor Engflow to optimize our RBE platform Develop custom Bazel rules and tooling (via Starlark) that abstract complexity so product teams can focus on autonomy problems, not build friction Integrate software quality tools into our build system and development workflow (code coverage, static/dynamic analysis, include-what-you-use) Build tools and dashboards to empower developers to ship better software faster Qualifications Bachelor's degree in an engineering, mathematics, or related field and 8+ year

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. Job Summary As an MTS Design Verification Engineer, you will serve as a technical leader driving innovation in DRAM verification for advanced memory products. This role focuses on leading design and verification strategy, influencing key technical decisions, and ensuring high-quality, functionally correct, and scalable memory solutions. You will collaborate with global teams, guide methodology improvements, mentor engineers, and act as a domain expert to support next-generation DRAM technologies. Responsibilities Lead DRAM verification innovation, driving key technical decisions, architecture, and strategy during product execution Collaborate with global teams to define and implement best-known methods for verification and product development Drive verification planning, coverage closure, and silicon debugging for advanced DRAM products Evaluate and implement new tools, methodologies, and flows to improve verification efficiency and quality Mentor engineers and provide technical leadership while contributing expert guidance to senior leadership teams Minimum Qualifications Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in DRAM/memory or advanced CMOS verification Strong circuit analysis and debug skills at the transistor level — able to root-cause behavior, not only at the testbench level Experience with simulation tools such as HSPICE, Finesim, Verilog, or SystemVe