Hardware Security Engineer Jobs

This is a temporary, full-time position with full benefits, with an expected end date of 12 months from hire. This position is based on site in South San Francisco, CA 94080 with the first 2 weeks of training based in Santa Clara, CA 95054. 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 Our operations team is growing and we are looking for Autonomous Vehicle Operators (AVOs) to join us. In this role you will be responsible for operating our autonomous test vehicles that run proprietary software and hardware, while helping train our self-driving technology. Professionalism, care, and personal accountability are significant attributes as you will be expected to adhere to the culture of safety and standards of conduct exemplified by the team. You will have to pass a number of training checkpoints both in and out of the vehicle. About the Work Operate a vehicle in manual and autonomous mode up to 8 hours per day in diverse traffic conditions while adhering to proper safety

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork is seeking a General Manager, Data Centers, to accelerate and scale our rapidly growing presence in the booming data center industry. Working closely with Instawork’s leadership team, this is a high-octane opportunity to drive strategy, capture market share, and optimize execution in one of the world's fastest-growing sectors. You will be tasked with scaling the connection between our 10M+ flexible workers ("Pros") and the massive, continuous labor demands of data center builders, general contractors, operators, and hyperscalers. Your goal: parachute into high-impact expansion initiatives, optimize our go-to-market strategy, supercharge our supply and demand engines, and do absolutely whatever it takes to accelerate the marketplace flywheel in critical data center hubs. What You’ll Do Scale the Playbook: Take our data center vertical from 1 to 10. You will drive operational excellence—whether that means streamlining complex site-access and safety protocols, standardizing onboarding for massive construction build-outs and hardware deployments, or expanding our footprint in key markets—until the vertical is a massive, self-sustaining engine. Strategic Execution & Partnership Expansion: Refine and implement Instawork’s growth strategy for the data center space. Cultivate, grow, and own relationships with top-tier general contractors, data center operators, colocation providers, and infrastructure tech giants, turning initial pilots into enterprise-wide deployments. Market & Data Needs Anal

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies from the world's largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Revenue Suite Product Sales is a team of functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. The Sales team has been tasked with attacking a $100B market opportunity for back office finance automation across billing, tax, revenue reporting, and data. What you’ll do As a Revenue Suite Account Executive (Existing Business) at Stripe, you'll use your sales and product expertise to help drive growth through existing Stripe customers. You'll collaborate with the core sales, marketing, product marketing, and product teams to develop deep product and industry knowledge and drive strategic deals. You'll lead in-depth product discussions with existing and prospective customers and build and execute against our go-to-market strategy. Responsibilities Drive revenue to achieve targets Lead sales and upsell conversations of Stripe for existing and prospective customers Drive strategic thought leadership within assigned territory to ensure user success and revenue growth Understand the sales process and competitors for Stripe, including software, hardware, and payments Serve as both an internal and customer-facing expert on Stripe, especially for your specialised products Synthesize and relay customer feedback and our findings to inform Stripe's product roadmap Engage with Product, Marketing, and User Operations teams to help amplify our growth trajecto

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 / Role Summary The DMTS is a top technical authority and industry expert who defines, develops, and transfers advanced NAND dry etch processes, shapes equipment and process roadmaps, benchmarks against industry standards, and resolves the most complex yield/defectivity/integration challenges. This role carries broad technical vision, deep domain expertise , strong external engagement, and responsibility for elevating technical capability through mentorship of senior technical leaders. Main Responsibilities Act as technical expert for dry etch process, hardware, and applications in NAND technology development; provide forward-looking insight on trends, capabilities, and integration risks. Define the equipment roadmap and drive mechanism-focused hardware roadmaps with suppliers for next-generation NAND dry etch. </li

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. In this role, you will focus on pioneering safety strategies for novel environments. Specifically, you will: Define and own the fail operational safety strategy and roadmap for expanding into new operating environments and Operational Design Domains (ODDs). Ensure all new ODD elements have tailored solutions that meet safety and reliability requirements. Design and maintain fault response strategies that keep the vehicle safe and operational during malfunctions, including decision-making logic that selects the appropriate action based on the nature and severity of the fault in the context of the entire ODD. Build a framework for assessing the effectiveness of fault handling and recovery in new ODDs, defining key metrics for system resilience and safety while using data analysis and automation to drive continuous improvement. Partner closely with software, hardware engineering teams, and operations to ensure a holistic approach to system safety and fault tolerance, translating complex technical concepts for diverse audiences. Leverage the latest AI and LLM tools to accelerate the analysis work and automate processes to reduce repetitive manual work. Qualifications B.S. or higher degree in Systems Engineering, Robotics, Computer Science, Electrical Engineering, or a related field, with 8+ years of relevant experience.

Staff Software Engineer - Sensing (SF Bay Area) San Francisco Bay Area Job Title: Staff Software Engineer Location: SF Bay Area About Canopy At Canopy, we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role Canopy is seeking a Staff Software Engineer to develop our next-generation sensing data pipeline — building the “physical full stack” from firmware and edge algorithms to the backend and frontend services that power them. You will bridge physical hardware and cloud systems, applying physics-based modeling to solve complex sensing challenges at scale that are not possible with traditional products. This is a unique role within Canopy to translate hardware schematics and firmware design into products that work in harsh environments and result in life-saving outcomes. We care deeply about building highly automated development environments that accelerate our prototyping and verification cycles, ensuring our mission-critical systems are built faster, safer, and with greater precision. How to you will make 10X impact: Drive the development of next-generation hardware that will be in the hands of millions of healthcare professionals Design and implement robust firmware across Canopy devices; build and mainta

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. Micron’s NAND Process Development (PD) Singapore group is looking for Senior Process Development Engineer to join Advanced Node team to support TD activities associated with rapid deployment of technology nodes, the process margin improvement work necessitated thereof as well as to ensure extended engagement with manufacturing on the upcoming technology nodes. Main Responsibilities: As a CMP Process Development Engineer, you will be primarily responsible for developing and optimizing CMP processes to improve product quality and reliability for the next generation of Micron's memory parts. Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts. Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications. Initiate and manage experiments to widen process margins as well as to evaluate manufacturability of next node solutions. Extensively collaborate with vendors to develop processes that meet integration requirements for current and next-generation 3-D NAND nodes. Incorporate be

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. As a System Architect in Advanced System Architecture Group at Micron Semiconductor Products, Inc., you will work with the memory industry's leading architecture team on new concepts that will craft the future of electronic systems around AI, servers, and mobile systems. You should be able leverage Artificial Intelligence for driving the processes and build next gen solutions with AI Supported frameworks. Your Responsibilities Will Include, But Are Not Limited To Delivering architectures and innovative solutions to optimize power and performance of next-generation memory and storage subsystems. Working with design and system architecture teams to identify key system requirements, seek the current bottlenecks and propose novel solutions for a wide range of applications. These activities will entail: Performing system-level simulations of innovative architectures to compare with existing design paradigms, using both open and closed-loop system performance analysis. Developing models of new controllers, components, memory devices, interconnects, and processors. Capturing, benchmarking, analyzing applications and their corresponding memory and storage access patterns. The scope of this analysis will span from the low-level software stack (operating system, drivers, etc…) down to the hardware and firmware controllers. You should have very strong knowledge of computer architecture and deep understanding sophisticated blocks such as caches, interconnects,

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. Role Summary The Engineering Tool Development Engineer focuses on the design and enablement of engineering tools and solutions for test platforms, with strong emphasis on tester bring‑up, debug, and characterization. This role provides hands‑on technical support in lab environments, integrates lab instrumentation into tester workflows, and ensures reliable data capture for failure analysis and characterization. The position works cross‑functionally with Device Product Engineering (PE), Validation, and Platform teams to standardize tester usage, improve engineering efficiency, and support evolving tester architectures and next‑generation test requirements. Key Responsibilities Tester Tool Design & Enablement Design device‑specific hardware solutions and engineering tester frameworks to support characterization, debug, and validation needs. Develop and refine engineering tools, debug features, and workflows that improve tester usability, observability, and diagnostic capability. Leverage AI‑enabled approaches to accelerate tester program development, bring‑up, and debug, ensuring outputs accurately reflect real tester behavior and silicon response. Engineering Support &am

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As a Corporate it engineer at WRITER, you'll be the backbone of our internal technology ecosystem. You'll design, build, and scale the systems that empower our rapidly growing team to do their best work. This isn't just about closing tickets; it's about architecting seamless, secure, and automated experiences across our entire SaaS and hardware landscape. You'll have the opportunity to shape how a leading AI company operates from the inside out, ensuring our infrastructure scales as fast as our ambitions. This role is hybrid and based out of our San Francisco or New York City office hubs. You will report to Staff IT lead 🦸🏻‍♀️ What you'll do Own the architecture and administration of our core enterprise SaaS platforms — including Google Workspace, Slack, and Okta Build robust automations and API integrations using Python and Terraform to eliminate manual IT processes and engineer zero-touch onboarding and offboarding for our global workforce Drive our identity and acc

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery

Deliver exceptional technology support that equips Gallup associates to do their best work in support of a global mission. As an IT support specialist at Gallup, you'll be a trusted technology partner, working independently and reliably as the sole technology representative in our Singapore office and supporting other offices in the APAC region when needed. You'll provide world-class end-user support, ensure our workplace technology operates seamlessly and create exceptional service experiences that empower associates to do their best work every day. You'll also oversee the technology that powers our meeting and conference rooms, ensuring conferences, classes, client meetings and events run flawlessly. Whether you're resolving an issue, preparing a new associate for success or supporting a room full of clients, you'll deliver the proactive, white-glove service that keeps people connected, productive and focused on changing the world. What You’ll Do Deliver responsive walk-up, deskside and remote technical support for Gallup associates, visitors and clients Troubleshoot and resolve hardware, software, account and Microsoft 365 issues in a Windows environment while supporting Apple devices as needed Coordinate technology for new associates, including device preparation, account setup and asset tracking Maintain audio-visual hardware, printers, network racks, routers, switches and wireless access points within the Singapore office Manage meeting room technology, audio-visual equipment and conferencing platforms to ensure meetings, classes, client presentations and events run flawlessly Anticipate associates' needs and proactively remove barriers to productivity Monitor, troubleshoot and escalate technical issues while partnering with Gallup’s global technology support teams to ensure timely resolution Document work accurately within Gallup’s IT service management platform while continually improving support processes and the associate experience Provide early-day suppo

About the job Shape the SoC architecture behind Graphcore’s next generation AI acceleration platforms. Graphcore is building AI compute systems that push far beyond a single chip. As a SoC Architect, you will define, specify and integrate critical subsystems for complex silicon devices. You will work across processor, SoC and system architecture to turn product requirements into practical design choices. Your work will influence performance, integration, modelling, validation and bring-up. This role is for someone who enjoys deep technical ownership and broad system context. You will help Graphcore deliver multiple AI silicon projects in parallel, at real scale. You will work on interfaces, interconnects and SoC subsystems that sit at the centre of advanced AI platforms. The problems are complex, visible and difficult to find elsewhere. The team and culture The Silicon Architecture team sits at the point where product ambition becomes silicon reality. Architects work closely with design, verification, hardware, software and systems teams. The team is growing because the scope is expanding. You will own meaningful technical areas, move quickly on decisions and keep momentum across groups. Ideas are tested through modelling, specification, discussion and evidence. People are expected to speak up, take responsibility and help others move faster. What we're looking for · Strong understanding of computer architecture, SoC architecture or complex silicon systems · Experience writing clear technical specifications for engineering teams · Knowledge of RTL development, verification processes or logical design · Ability to work across architecture, design, verification, hardware and software teams · Domain knowledge in areas such as PCIe, DDR, LPDDR, Ethernet or on-chip networks · Motivation to take ownership, mentor others and drive practical decisions Benefits Flexible working: Balance your work and personal life with great

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 Position Summary As an IoT Engineer, Engineer based in Singapore, you will design, build, and deploy Industrial IoT (IIoT) and machine vision solutions to support advanced packaging technology development and factory enablement. You will implement hands-on engineering work from proof-of-concept through deployment and sustainment, contributing to scalable and secure solutions that improve quality, productivity, and early risk detection. You will collaborate cross-functionally to translate manufacturing needs into measurable signals, robust data pipelines, and actionable insights, while operating with a strong safety mentality and a bias for practical, reliable delivery. Key Responsibilities Develop and deploy IIoT solutions end-to-end: sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment (including data quality and traceability). Build machine vision solutions: support hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, performance validation, and deployment readiness. Work with process, equipment, automation, quality, and IT/data platfor

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical