System Power Engineer Jobs

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. This role sits at the center of cutting-edge AI hardware development, keeping the servers, PCIe systems, and engineering infrastructure running that power next-generation compute. You’ll be hands-on with rapidly evolving prototype and production systems, installing, maintaining, and troubleshooting hardware in fast-paced R&D and data center environments. Acting as a critical bridge between hardware engineers, software teams, and IT, you’ll help ensure seamless access to the platforms that turn ideas into working silicon and systems. This role is onsite, based out of Toronto, Canada or Austin, Texas. 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 hands-on hardware professional who enjoys building, maintaining, and troubleshooting complex computing systems. Comfortable working in fast-paced R&D environments where hardware, firmware, and software are constantly evolving. Knowledgeable in computer architecture, operating systems, and hardware diagnostics, with strong problem-solving skills. Collaborative, detail-oriented, and motivated to improve processes through documentation, scripting, and automation. What We Need Inst

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. Tenstorrent is looking for a Firmware Engineer working on microcontrollers and SoCs, focused on low-level C/C++ development and board bring-up. You’ll implement and debug firmware, develop boot/power/reset sequences, and use lab tools to diagnose issues across the hardware–software boundary. You’ll collaborate closely with hardware, board, and system software teams while building strong skills in modern embedded platforms, RTOS/Embedded Linux, and automated testing. This role is hybrid, based out of Toronto, Canada. 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 An experienced embedded engineer with a strong foundation in computer engineering, electrical engineering, computer science, or a related field, and a track record of building reliable software for real-world systems. A strong problem solver who enjoys working where software meets hardware and can move comfortably between architecture, implementation, debugging, and system-level thinking. Curious by nature and energized by complex challenges, with a willingness to explore new technologies, development approaches, and AI-assisted tools to make engineering more effective. A thou

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Summary The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are looking for someone with strong proficiency in Python, SQL, and data modeling, a solid understanding of distributed systems and system design who has built and scaled data products on modern cloud platforms such as Databricks and Snowflake. This is a hands-on, senior individual-contributor role with end-to-end ownership and leadership spanning multiple domains such as Supply Chain, Manufacturing and Quality, including mentoring engineers on our global (India-based) team. Responsibilities Partner across business, AI, and platform teams translating domain needs (e.g., SAP, Manufacturing, Quality) into well-modeled, governed and scalable data products. Design, build, and scale end-to-end data products on Databricks (and interoperating with Snowflake) — from ingestion through curated, analytics-ready datasets following a medallion (Bronze/Silver/Gold) architecture. Develop reusable frameworks, libraries, and

Data Engineer Description - Key Roles Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture. Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data. Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets. Works cross-functionally with different departments to assess, define, and develop report deliverables. Represents the software data engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related di

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 FECOS cPIE Standardization & Metrics Engineer you will be responsible on: Drive for alignment and standardization across various fabs on Best-Know-Methods (BKMs) Develop Metrics to measure the standardization, sustainability, scalability and synchronization of the BKMs. Identify gaps in current programs and use SMART metrics to drive effectiveness and efficiency on program deliverables. Transform yield SEAL and SWATs to achieve FECOS missions, improving network resource/talent leverage. Implement organizational change management methods and tools to increase the speed of adoption and capture project or program return of investment. Ability to exercise judgment and adapt accordingly to encourage and persuade others to adopt the change required for a successful implementation of the program. Constantly drive productivity and eliminate inefficiency / ineffectiveness through automation and AI solutions. Collaborate with various multi-functional teams on yield reports, develop business process to optimize current system with clear roles and responsibility. Promotes cPIE teams alignment and collaboration with critical metrics /metrics definition standardization, data automation & visualization, metrics performance monitoring and metrics adoption tracking. Engage team members and drive accountability, performance driven culture through clear communication, formal and informal feedback, goals and critical metric Drive diversity, equality, and inclusive worki

What We Do At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. What It’s Like to Work at GoGuardian We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians. The Role We’re looking for a Software Engineer II, Fullstack to design and implement solid architectural solutions with the rest of the engineering team, supporting our Pear Assessment product - a platform that provides real-time, interactive formative assessments, enabling teachers to capture diverse student responses, gain instant insights, and adapt instruction across live and self-paced learning environments. With a passion for solving problems quickly and delivering high-quality code, you will build features that enable real-time formative assessments and actionable learning insights for educators. You’ll work across the full stack—from crafting intuitive React-based classroom experiences and interactive assessment workflows to designing scalable backend services and optimizing data pipelines that power instant feedback and analytics. You will also contribute to OpenSearch-powered sema

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

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 are seeking a highly skilled Physical Design Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators. You’ll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon’s performance and cost efficiency, as well as the team’s execution velocity and quality. In this role, you will: Develop, build and own tools, flows and methodologies for physical implementation Own physical implementation of floorplan blocks from floorplanning to final signoff Collaborate with RTL designers to drive optimal block implementation solutions Analyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partners Qualifications: BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development Demonstrated success in taping out complex silicon designs Hands-on experience with block physical implementation and PPA convergence Strong coding experience with python, bazel, TCL Strong experience building physical design tools, flows and methodologies Strong understanding of microarchitecture, RTL design,

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 You will work on the systems software strategy and execution that brings new AI silicon from first power-on to a fully integrated system running production-representative models at expected functionality and performance. You will define how software exercises and validates compute, memory, interconnect, and I/O subsystems, then build the diagnostics, automation, and observability needed to find issues quickly. This role sits at the center of silicon, firmware, platform, systems, and workload teams. You will turn hardware specifications and performance targets into an end-to-end bringup plan, drive cross-functional debug, and establish the stress and regression infrastructure that makes each new platform reliable across operating environments. In this role, you will: Contribute to the end-to-end software bringup and validation strategy for new silicon and first-party systems. Define software-driven test coverage across compute, memory, interconnect, I/O, and their system-level interactions. Build diagnostics, test automation, telemetry, and regression infrastructure that accelerate first-silicon learning and issue isolation. Lead bringup from initial silicon arrival through board and system integration, docking, runtime enablement, and model execution. Design stress tests that characterize reliability, performance, and stability across workloads and operating conditions. Translate architecture specifications and performance models into measurable acceptance crit

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 Product Manufacturing Engineer to drive manufacturing strategy and execution for next-generation AI hardware within the Silicon & Systems team, with a particular focus on PCBA manufacturing, assembly, process development, and production readiness. You will work closely with design engineering, systems engineering, operations, TPMs, contract manufacturers, suppliers, and other external partners to ensure new hardware products successfully transition from concept and prototype builds through NPI and high-volume production. You’ll own critical manufacturing initiatives, identify and resolve production risks, and help establish the processes and controls required to deliver complex hardware at scale. 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: Drive manufacturing and quality initiatives to ensure product success from concept and early development through NPI, production launch, and scale. Lead manufacturing process development for next-generation AI hardware systems, partnering closely with design engineering, systems engineering, operations, TPMs, suppliers, and manufacturing partners. Own PCBA manufacturing development and production readiness, including assembly processes, process validation, manufacturing test, rework, yield improvement, and successful transition into volume production. Establish NPI manufact

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 are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. In This Role, You Will: Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. Develop and manage test coverage for: ICT / structural test FCT / board-level functional test Tray-level functional and integration test System-level manufacturing and bring-up test Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. Translate engineering requirements into practical, scalable manufacturing test plans that

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 are looking for a highly experienced RTL engineer to own critical on- and off-chip interconnect components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip communication fabrics connecting high-bandwidth compute, memory, and I/O subsystems as well as purpose-built off-chip interfaces and protocols needed to enable custom computing at scale. This is a senior, hands-on engineering role with broad technical ownership. You will drive design from requirements through the full silicon lifecycle, from architecture definition and performance analysis through RTL implementation, verification closure, physical design convergence, bring-up, and production readiness. You will plan and oversee the work of junior engineers and help drive and develop productive engineering relationships with external partners and help manage partner execution. 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 the microarchitecture, RTL design, and delivery of major SoC interconnect components, including network-on-chip fabrics, switches, routers, bridges, protocol adapters, arbiters, and traffic-management logic as well as off-chip protocol bridges and interfaces. Drive third party engagements to develop novel networking and interface protocols and silicon IP while ensuring high quality and de

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 seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment. Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices. Own device identity, provisioning, enrollment, attestation, certificate lifecycle, and key-management requirements across manufacturing and data center bring-up. Harden management

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 seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics. Own integration and acceptance of partner and ve

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 product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. 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: In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions Provide hands-on product manufacturing analysis during desi