System Hardware Engineer Jobs

We build and operate the compute infrastructure our researchers run on, supporting large-scale processing of historical market data and model training on our own hardware across multiple data centers. Our environment includes bare-metal Linux, virtualization, storage, and GPU clusters, where performance, reliability, and predictable system behavior are critical. Our Infrastructure team covers monitoring and automation, distributed storage, hardware and OS provisioning, GPU clusters and workload scheduling, high-speed networking, L2/L3 Linux support, and security engineering. Engineers here own their tasks end to end, so there's room to go deeper in your area and pick up the parts you haven't touched yet. We’re looking for a Linux Infrastructure Engineer who can work hands-on with server and cluster environments, from deployment and configuration to performance tuning, troubleshooting, and ongoing improvement What You’ll Be Doing: Deploying, configuring, and maintaining Linux-based bare-metal servers across our data centers Building and operating clustered environments, including virtualization, storage, GPU compute, and database clusters Troubleshooting complex Linux, hardware, networking, and cluster-level issues Performance tuning for throughput, latency, stability, and resource utilization Monitoring infrastructure health and performance, identifying bottlenecks, and preventing recurring issues Supporting the full server lifecycle: provisioning, setup, upgrades, and maintenance Improving reliability and predictability during failures, maintenance, and scaling Automating provisioning, configuration, and operational tasks, primarily using Ansible and scripting What We Look For In You: Strong hands-on Linux administration and troubleshooting experience Production experience with on-premise, bare-metal infrastructure Good understanding of Linux performance and bottleneck analysis Experience with: infrastructure monitoring and troubleshooting production issues,

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 Work Drive the system-level safety architecture and requirements for the Autonomy Hardware and Firmware of the Nuro Driver, ensuring compliance with automotive safety standards such as ISO 26262 and ISO 21448. Decompose vehicle-level Safety Goals into a cohesive Functional Safety Concept (FSC) and refine it into a detailed Technical Safety Concept (TSC), defining system-level safety mechanisms, fault detection and reaction strategies, and safe states. Develop the system-level SOTIF specification for the Autonomy Hardware and Firmware of the Nuro Driver, defining performance targets and acceptance criteria for safety-critical systems like Autonomy Sensors and Compute. Lead, perform, and review system-level safety analyses, including Hazard Analysis and Risk Assessment (HARA), Failure Mode and Effects Analysis (FMEA), and Fault Tree Analysis (FTA), Dependent Failure Analysis (DFA) to identify risks and deriv

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. Hands-on technical contributor responsible for customer-focused system validation of enterprise and data-center SSDs, owning execution, debugging, qualification, and multi-functional coordination. Responsibilities: • Plan and implement customer‑specific system and SSD validation cycles, including regressions and qualification runs. • Set up and maintain validation environments and analyze test results to drive root‑cause resolution. • Perform system‑level and drive‑level debugging and reproduce customer‑reported issues. • Develop and enhance validation test cases, scripts, and automation frameworks. • Own the process of conducting validation for assigned programs while mentoring developing engineers and contributing to test strategy. • Applying Artificial Intelligence to improve organizational level working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 8+ years of experience in customer, product, or system validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system‑level validation in complex hardware/software environments. • Experience collaborating with multi-functional engineering teams (firmware, hardware, systems). • Proficiency with scripting/programming in Python, C/C++, or similar languages and understanding of val

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 Experienced individual contributor responsible for independently accomplishing customer-focused system validation for enterprise and data-center SSD products. Owns end-to-end validation for assigned platforms, contributes to validation planning and test development, applies advanced technical judgment, and provides technical guidance without formal management duties. Responsibilities: • Independently plan and complete customer-specific SSD/system validation cycles and qualification runs. • Set up, configure, and ensure the ongoing validation of environments including systems, firmware, OS, and platform settings. • Analyze validation results, identify failures, and determine next steps including debug and risk assessment. • Develop, extend, and maintain validation test cases, scripts, and automation. • Serve as technical owner for assigned projects, providing mentorship and sharing guidelines across teams. • Applying Artificial Intelligence to improve day-to-day working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 6 years of experience in customer, system, or product validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system-level validation in complex hardware/software

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 Hands-on technical contributor responsible for customer-focused system validation of enterprise and data-center SSDs, owning execution, debugging, qualification, and multi-functional coordination. Responsibilities: • Plan and implement customer‑specific system and SSD validation cycles, including regressions and qualification runs. • Set up and maintain validation environments and analyze test results to drive root‑cause resolution. • Perform system‑level and drive‑level debugging and reproduce customer‑reported issues. • Develop and enhance validation test cases, scripts, and automation frameworks. • Own the process of conducting validation for assigned programs while mentoring developing engineers and contributing to test strategy. Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 8+ years of experience in customer, product, or system validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system‑level validation in complex hardware/software environments. • Experience collaborating with multi-functional engineering teams (firmware, hardware, systems). • Proficiency with scripting/programming in Python, C/C++, or similar languages

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for advanced AI workloads. The team builds next-generation AI-native silicon and systems, working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. Beyond delivering systems for OpenAI’s supercomputing infrastructure, the team develops the strategic partnerships needed to accelerate hardware innovation and scale. About the Role We’re seeking an experienced Hardware Strategic Sourcing & Manufacturing Partnerships Manager to lead strategic engagements with joint design manufacturers (JDMs), contract manufacturers (CMs), and original design manufacturers (ODMs) across OpenAI’s hardware ecosystem. Based in Singapore, you will own the complete manufacturing partner lifecycle: developing sourcing strategies, leading RFIs and RFPs, evaluating and selecting JDM, CM, and ODM partners, negotiating commercial agreements, onboarding suppliers, launching manufacturing programs, and managing long-term partnerships. You will work closely with engineering, manufacturing, supply chain, finance, legal, security, and program management teams to establish partnerships supporting AI-native silicon, rack-scale systems, and related infrastructure. Success requires strong commercial judgment, technical credibility, and hands-on operational execution. In this role, you will: Develop and execute partnership strategies across JDM, CM, and ODM engagement models, identifying the appropriate manufacturing approach based on product requirements, technical complexity, scale, speed, cost, and risk. Lead end-to-end RFI and RFP processes for prospective JDM, CM, and ODM partners, including defining requirements, conducting market outreach, managing competitive bids, coordinating stakeholder evaluations, and presenting selection recommendations. Evaluate manufacturing partners across technical capabilities, product design and engineer

About the Team DoorDash Labs is DoorDash's autonomous delivery group, building the robots and hardware that move goods without a driver. The Hardware team designs the electronics at the core of these systems — digital and mixed-signal control boards, power and motor-control electronics, embedded firmware, and the test and integration benches that prove the whole system works. We're building out an experienced and diverse set of electrical engineers to increase our velocity, bandwidth, and operations. About the Role You'll bring PCB layout in-house — a core quality goal — owning floorplanning, stackups, and layout while coordinating closely with mechanical, thermal, and SI/PI engineering to land complete, manufacturable boards. You will report into the Director, Electrical Engineering on our Hardware team in our DoorDash Labs organization. Our offices are open, and depending on the role this position is hybrid or fully onsite — expect to be fully onsite when needed. You're excited about this opportunity because you will… Perform floorplan analysis and create stackups, layout, and footprints Work with mechanical engineering to ensure fit and form compatibility with mechanical systems Work with thermal engineering to ensure a thermally sound layout Work with SI/PI engineering to ensure the board design is complete and robust Drive toward consistently high-quality layout We're excited about you because… Strong PCB layout experience across digital and mixed-signal boards Familiar with stackup technologies, their limitations and considerations, and cost/lead-time impacts Controlled-impedance and high-speed routing know-how; PI/PDN fundamentals Proficient in a professional layout tool (Altium, Cadence, or similar) Comfortable coordinating with mechanical, thermal, and SI/PI engineering Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experie

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. In this role, you will play a key role in ensuring the quality, reliability, and robustness of Ubiquiti networking products through design verification and system-level validation. As a member of the DQA team, you will collaborate with hardware, software, manufacturing, and cross-functional teams throughout the product development lifecycle to identify product risks, drive root cause analysis, and improve overall product quality. You will work across multiple networking product lines, including Ethernet switches, NAS, NVR, ProAV, and future networking platforms. We are looking for engineers with strong technical curiosity, hands-on debugging skills, and the ability to quickly learn new technologies in a fast-paced development environment. Your work will directly contribute to delivering reliable, high-quality products to customers worldwide. Responsibilities Participate in New Product Introduction (NPI) and drive design quality validation throughout the product development lifecycle. Develop and execute system-level validation plans for networking products, including Ethernet switches, NAS, NVR, ProAV, and future networking platforms. Perform functional, interoperability, compatibility, stability, reliability, and environmental validation. Validate networking and platform features, including

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity

What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

We are seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details. WHAT YOU’LL BE DOING: The task involves the development and upkeep of data pipelines for training and evaluating models Exploratory data analysis will be conducted to enhance model accuracy and performance Experiments and evaluations of machine learning models will be carried out to identify and address any issues WHAT WE LOOK FOR IN YOU: Strong experience in machine learning Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation Strong analytical and problem-solving skills, as well as attention to details WHY SHOULD YOU JOIN OUR TEAM? Great challenges with many opportunities to prove yourself A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime 40 paid days off Competitive salary and performance-based bonuses

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: We are actively seeking highly motivated engineers who excel in dynamic, small-team settings. You will get a chance to contribute to innovative product ideas that tackle challenges within massive-scale storage environments. We are looking for skilled and dynamic Software Quality Engineers with a strong focus on automation to join our team. In this role, you will be a key player in ensuring the delivery of high-quality software through rigorous testing, building and leveraging a scalable test automation, and contributions to building high-performance systems. You will actively participate in designing tests, developing and maintaining test sets and strategies, and collaborating with peers and stakeholders to achieve comprehensive test coverage. You will work closely across kernel and OS layers, gaining exposure to end-to-end system interactions, I/O paths, and performance characteristics. Strong troubleshooting skills are essential, particularly in diagnosing complex server and storage issues across hardware and software boundaries. WHAT YOU'LL DO: Designing and implementing automated tests throughout the entire lifecycle of product development and support. Creating, developing, and maintaining automated test sets and test strategies for various products. Collaborating with peers and stakeholders to identify requirements and contribute to solutions from initial test design to a comprehensive testing suite. W

About the Team DoorDash Labs is DoorDash's autonomous delivery group, building the robots and hardware that move goods without a driver. The Vehicle Electrical team designs the electronics at the core of these systems, including power and motor-control electronics, charging, and the test benches that prove the whole system works. About the Role As a summer intern, you will own a defined hardware project in one of three areas: an on-board charger prototype, an in-house motor control circuit, or a full-power hardware test bench with motor power and battery simulation. You will take it from requirements through design, build, and bench validation, and present your results to the team at the end of the summer. You will report into the Director, Electrical Engineering in our DoorDash Labs organization. You're excited about this opportunity because you will… Own an end-to-end project in one of three areas: an on-board charger prototype, an in-house motor control circuit, or a full-power hardware test bench. Design, build, and bring up hardware, from schematic and component selection through prototype assembly and debug. Characterize your design on the bench with lab equipment, measuring efficiency, thermal, and control performance against requirements. Collaborate with power electronics, firmware, and test engineers, and incorporate design review feedback into your work. Document your results and present your findings to the team at the end of your internship. We're excited about you because… You are pursuing a B.S. or M.S. Degree in Electrical Engineering or equivalent, have no more than 2 years of full-time work experience, and are graduating between Fall 2027 to Summer 2028. You are available for a May or June 2027 start date (Internships are only hosted during the Summer). You have coursework or project experience in power electronics, including switch-mode converters (buck, boost, PFC, isolated DC-DC), gate drive, magnetics, and power-stage design. You understand mot

Senior: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role About the job Build quality foundations for Kubernetes systems that power next-generation AI compute. As a Senior QA Engineer , you will validate the workload management stack for new AI accelerator hardware. You will help ensure that Kubernetes integrations are reliable, scalable and ready for production use. Your work will support how accelerators are scheduled, orchestrated and used across distributed environments. You will test systems that make complex AI compute infrastructure dependable for real users. You will design and develop automated test suites, build system and integration tests, and contribute to improving CI/CD quality practices. You will also investigate and debug issues across Kubernetes, infrastructure and application layers. This role is for someone who enjoys hands-on technical testing, automation and working close to complex distributed systems. This is a hybrid position, with at least three days each week in our Gdańsk office. The team and culture You will join the Workload Management team, working closely with software engineers, infrastructure specialists and other QA engineers. The work is practical, systems-focused and based on strong technical ownership. Quality is built early here, not checked only at the end. You will contribute to test strategy, validation planning and automation practices throughout the development lifecycle. The team works through open technical discussion and evidence-based decisions. You will be encouraged to speak up on quality risks, improve test coverage and help turn complex systems into reliable products. As a senior member of the QA team, you will also support less experienced engineers through technical guidance, code reviews and sharing good testing practices. What we’re looking for Strong Python programming experience, with a focus on automation and test engineering Hands-on experience with Robot Framework or

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity We are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms. You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review. Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis. Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data. Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems. Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processor