Hardware Systems Architect Jobs

About the Team The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, cloud services, mechanical engineering, electrical engineering, and product design to deliver reliable, production-ready devices at scale. Within Consumer Devices, Hardware Engineering eXperience, or HEX, is a new bootstrapped team building the environments, applications, compute, product-data systems, and workflows that let hardware engineers do their work without needing to troubleshoot the machinery underneath. HEX owns virtual engineering environments, HPC/GPU compute, storage, networking, licensing, MCAD/ECAD/CAE applications, PLM, product data, automation, validation, and support as one connected system. About the Role As a Staff PLM & Engineering Applications Engineer, you will be one of the first technical builders of HEX and the primary counterpart to the HEX lead. You will own the engineering-application and product-data side of the hardware engineering experience, with an initial focus on NX, Teamcenter, licensing, parts import, integrations, packaging, validation, and user workflows. This is not a traditional Teamcenter administration role and not a Corporate IT application-support role. You will take complex, fragile workflows and turn them into reliable engineering systems. This role is highly hands-on and systems-oriented. You will not inherit a mature environment and support queue. You will help build a fresh one, replacing manual setup guides, tribal knowledge, repeated support issues, and team handoffs with tested automation and reliable workflows. In This Role, You Will Own the technical architecture, deployment, configuration, integration, validation, and long-term operation of NX and Teamcenter. Build reliable workflows for parts import, product-data migration, metadata quality, BOMs, revisions, lifecycle states, and releas

About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. Implement API and EDI partner inte

About the Team The Software Engineering team is responsible for designing and building the scalable, performant, and secure backend systems that power our products—from early prototypes to large-scale deployments. We collaborate closely with product, hardware, and full-stack teams to ensure our infrastructure enables fast iteration while setting a strong foundation for long-term growth. About the Role As a Backend Engineer , you will design and build services, APIs, and infrastructure that support evolving product needs. You’ll apply a deep understanding of backend systems and maintain enough end-to-end context—from hardware to cloud—to guide technical decisions that best serve the product and team. We’re looking for engineers who thrive in fast-paced, collaborative environments and care deeply about building robust systems that scale. This role is based in San Francisco, CA . We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Architect, build, and maintain high-performance, secure backend systems. Design APIs, data models, and infrastructure to support evolving product needs. Balance near-term development velocity with long-term maintainability and scalability. Collaborate with cross-functional teams to ensure cohesive, end-to-end solutions. You might thrive in this role if you: Have 7+ years of professional software engineering experience, with a focus on backend systems. Have a proven track record of building and scaling systems from early stage to large scale. Are proficient with Python and Go, and familiar with a range of server-side technologies. Have a strong grasp of system design, performance optimization, and security best practices. Can reason about full-stack tradeoffs from hardware through cloud infrastructure. (Nice to have) Have experience with distributed systems and cloud architectures. (Nice to have) Bring a background in instrumentation, analytics, and performanc

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: Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers. You might be a good fit if you: Have deep experience with GPU programming and optimization at scale Are impact-driven, passionate about delivering measurable performance breakthroughs Can navigate complex systems from hardware interfaces to high-level ML frameworks Enjoy collaborative problem-solving and pair programming Want to work on state-of-the-art language models with real-world impact Care about the societal impacts of your work Thrive in ambiguous environments where you define the path forward Strong candidates may also have experience with: GPU Kernel Development: CUD

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. Our team is at the forefront of developing next-generation memory and AI computing platforms. We are core contributors to the design, validation, and mass production of advanced systems using emerging memory technologies, ASICs, FPGAs, high-speed digital interfaces, mixed-signal and analog circuitry, and complex power delivery architectures! We are seeking a highly experienced Mechanical & Thermal Engineer to provide technical leadership and drive the mechanical and thermal architecture of ground breaking hardware platforms. This role offers the opportunity to influence product strategy, lead critical engineering decisions, and collaborate across global multidisciplinary teams to enable world-class computing solutions. The ideal candidate brings deep expertise in thermal, mechanical, and heat mitigation solutions for memory product. They demonstrate strong analytical and problem-solving skills. They have a proven record of delivering products from concept through high-volume manufacturing! Performs design and development engineering assignments related to hardware products and systems including development of new products or updates to existing products. Work may encompass one or more areas of engineering including electronic design, mechanical design, or other related fields. Duties may include research, evaluation, development, and application of new processes and methods into products. May be responsible for establishing and conducting testing routines, developing or implementing project plans, budgets, and schedules, and documentation

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Design and implement robust, scalable, and secure RESTful APIs; Develop applications on embedded platforms, integrating closely with hardware and network systems; Architect and document backend software systems with a focus on performance, maintainability, and scalability; Perform network programming and system-level integration across multiple subsystems; Collaborate with cross-functional teams including Frontend Engineering, UX Design, and QA to ensure cohesive product development; Ensure high-quality deliverables and meet project timelines consistently; Participate in code reviews and actively share knowledge to foster a culture of continuous improvement. Requirements: 5+ years of experience with Golang in a production environment; 5+ years of experience working with relational databases (RDBMS) such as PostgreSQL or MySQL; Demonstrated expertise in designing and developing RESTful APIs; Strong analytical and problem-solving skills, with a proactive and adaptable mindset; Proficiency in AI development environments (e.g., Cursor, Claude Code) and expertise in AI development techniques, such as Spec-Driven Development, are required; Fluent in English. Nice to have: Experience developing or maintaining IoT platforms or connected device ecosystems; Knowledge of IoT protocols such as MQTT, CoAP, or WebSockets for

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Design and implement robust, scalable, and secure RESTful APIs; Develop applications on embedded platforms, integrating closely with hardware and network systems; Architect and document backend software systems with a focus on performance, maintainability, and scalability; Perform network programming and system-level integration across multiple subsystems; Collaborate with cross-functional teams including Frontend Engineering, UX Design, and QA to ensure cohesive product development; Ensure high-quality deliverables and meet project timelines consistently; Participate in code reviews and actively share knowledge to foster a culture of continuous improvement. Requirements: 5+ years of experience with Golang in a production environment; 5+ years of experience working with relational databases (RDBMS) such as PostgreSQL or MySQL; Demonstrated expertise in designing and developing RESTful APIs; Strong analytical and problem-solving skills, with a proactive and adaptable mindset; Proficiency in AI development environments (e.g., Cursor, Claude Code) and expertise in AI development techniques, such as Spec-Driven Development, are required; Fluent in English and Latvian. Nice to have: Experience developing or maintaining IoT platforms or connected device ecosystems; Knowledge of IoT protocols such as MQTT, CoAP, or Web

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely and reliably. 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. We are seeking a System Safety Engineer to perform safety analyses of complex hardware and software systems, specifically Sensing and Perception Systems. You will work across hardware and software domains to develop comprehensive system safety requirements and metrics that ensure safe, fail operational and reliable sensing capabilities for our autonomous vehicle platform. In this role, you will: Define safety requirements for sensing (e.g. camera, lidar, radar) and perception (sensor fusion, ML models) subsystems Lead cross-functional technical projects across Software, Hardware, Operations, Data Science, V&V teams to ensure we have the appropriate data and solutions to support our safety arguments Collaborate with perception, hardware, software, firmware and other systems engineering teams to design safety mechanisms by leveraging ISO 26262 (e.g HARAs, Functional Safety Concepts, etc.) and SOTIF (ISO 21448) standards Work with partner teams to develop safe, fail operational, and cost-optimized, next-generation sensing architectures and guide the selection of next-generation sensors Analyze field and simulation data to root cause issues, identify next steps or validate assumptions Leverage AI/LLM tools to accelerate analysis and automate repetitive processes, improving team efficiency Qualifications BS or MS in a related technical field, such as Electrical/Electronics Engineering, Computer Engineering, Mechanical Engineering, Compu

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

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms. WHAT YOU'LL DO Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines. Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture. Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate. Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking. Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernet

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline. As we adapt to solve their most pressing issues in latency, performance, and compute cost, we are building a team of software engineers relentlessly focused on low-level optimization and novel compute architectures. This is a team of developers creating software for the far-edge, including streaming ETL pipelines, inference platforms, and various timing critical applications. This role requires an experienced software engineer who is well versed in low-level development in compiled, native languages such as Rust and C/C++. A successful candidate can optimize software for constrained embedded devices or across large-scale distributed systems. You should have strong knowledge of computer architecture and OS internals. Core Responsibilities Develop high-performance software that runs in distributed systems at the edge and in the cloud. Process high-bandwidth sensor and network data streams to deliver real-time insights. Architect optimized, hardware-aware software systems. Collaborate directly with customers to derive and refine requirements. Participate in code reviews, design discussions, and mentor other engineers as needed. What We Value Ability to independently decompose and solve ambiguous, complex problems alongside customers with minimal guidance. Deep knowledge of computer architecture and experience with hardware-software interfaces. Proficiency with Linux and basic IP networking concepts.<

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 Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro senso

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 Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro senso

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 Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro