Hardware Lead Engineer in United States

Firmware Engineer BIOS/UEFI Description - The Firmware Engineer is responsible for ensuring that embedded firmware meets the highest standards of quality, robustness, and long‑term reliability. This role works closely with firmware developers, hardware engineers, architecture teams, QA, and cross‑functional partners to define quality metrics, validate system behavior, improve defect detection, and build processes that prevent regressions. Responsibilities Develop, execute, and maintain comprehensive firmware test plans, including functional, regression, stress, corner-case, and long-duration reliability tests. • • • Evaluates the firmware architecture, design and development plus testing methodologies to create strategy and implement methods to bring increased quality and reliability to the firmware. Reviews firmware code and test plans including functional, regression, stress, corner-case and long-duration reliability tests. Perform root-cause analysis for firmware defects, drive containment, corrective actions, and verification of fixes. Create and manage quality dashboards, KPI, failure rates, and reliability metrics. Evaluate failure modes exposed during design, development, manufacturing and field use; propose design or process improvements to prevent recurrence. Works with product architects, firmware teams, product managers and provides critical guidance, system-level debugging and troubleshooting to various teams, as a Subject Matter Expert. Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Create and manage quality dashboards , KPIs, failure rates, and reliability metrics. Validate firmware integration with hardware, BIOS/UEFI, EC, micro

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are a world - class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers. We're looking for a Senior Software Triage Engineer with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer. What you’ll be doing: Work with Product, Engineering, Model/SW Devs, In-car testing, Fleet teams on test request and triage planning, do live triage with accurate analysis and debugging steps, present top issues by end of day. Deep understand

SCG sits at the crossroads of design, architecture, marketing, and productization—owning the journey from the architecture stage through final product definition across Gaming, Datacenter, Automotive, and Embedded markets. As a System Verification CoDesign Engineer, you will work on system-level speed features, develop the verification collaterals and automation infrastructure to characterize and validate them, and lead debug of the complex silicon issues that stand between a program and on-time shipment. This is a hands-on role for an engineer who combines deep technical craft with the drive to compress cycle time using modern tooling—including AI—without losing rigor. What You’ll Be Doing: Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products. Understand system level behavior and speed reliability margins, bounding box constraints and identify solutions that optimize margins . Translate hardware features and architectural requirements into verification techniques that achieve full coverage across testing flows. Perform closed loop validation by correlat ing silicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs. Define, prototype, and refine pre- and post-silicon bring-up flows to ensure

Job Details: Job Description: About the Role The Client Computing and Physical AI Group (CCG) is shaping the future of AI-enabled computing experiences. We are seeking a highly motivated Senior Customer Solutions Architect, Graphics & AI to drive customer adoption of Intel's graphics and AI technologies across next-generation client platforms. In this role, you will serve as a trusted technical advisor to strategic customers and ecosystem partners, helping define, architect, validate, and optimize innovative graphics and AI solutions. You will work across hardware, firmware, software, and platform teams to translate customer requirements into scalable product solutions while influencing future technology roadmaps. This position blends deep technical expertise, customer engagement, cross-functional leadership, and innovation to accelerate the deployment of Intel AI and graphics technologies. What You’ll Do Key responsibilities will include but not limited to: Be the center point of contact for technical collaborations with the customer and with various internal teams. Own end to end architecture of customer solution in alignment with product and IP architectures, and its translation to product requirements. Co define test vehicle and validation strategy, and collaboratively manage the execute schedule and resource negotiation. Drive technology tradeoff decisions ensuring customer needs are met, along with satisfying standards and specifications, and execution reality. Be the customer voice and collaborate heavily with internal execution teams and manage customer dashboards. Participate and contribute in identifying critical technology solutions for future product needs and influence roadmap.

Electronic System Design and Analysis Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test Operations and Engineering (TO&E) team in Berkeley , Missouri is seeking an Electronic System Design and Analysis Engineer to join our Instrumentation Installation Design group to support all major programs in the St. Louis area. We are currently hiring for a broad range of experience levels including Experienced and Senior Electronic System Design and Analysis Engineers. Position Responsibilities: Electrical Design & Testing AC and DC power applications Assisting shop with build information Reading electrical drawings/schematics Troubleshooting Electrical component/wiring faults Production Functional and Environmental Acceptance Testing Designing new test sets for various weapon and aircraft electronics Performs system tests to verify operational and functional requirements Supports resolution of product integration issues and production anomalies Researches basic technologies for potential application to company business needs Assists in monitoring suppliers' performance to ensure compliance with requirements Develops or modifies basic hardware and software designs based on defined requirements Assists with the development and documentation of electronic and electrical system requirements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skill/Experience): <

Manufacturing Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test and Evaluation (BT&E) Test Operations & Engineering (TO&E) Instrumentation Data System Installation Design team located in Berkeley, MO is seeking Manufacturing Engineers to provision Flight Test Instrumentation hardware on multiple aircraft platforms. On this team, a Manufacturing Engineer (Assembly & Installation) has the primary responsibility for the fabrication and installation of the mechanical and electrical hardware required to install a flight test data system. Design-Build Flight Test Manufacturing Engineers work the entire production cycle from review of engineering, manufacturing plan authorship, fabrication sourcing (inside and outside of Boeing) and detail planning, and continuing on through installation planning and shipside support. Manufacturing Engineers are owners of the build plan and ensure compliance to design configuration, build plan, and process requirements. Manufacturing Engineering performs Design for Manufacturing and Assembly (DFMA) analysis and develops an integrated build plan consisting of work instructions for assembly/fabrication, kitting, tooling, inspection requirements, and other outputs to ensure fabrication meets design, test, and program requirements. BT&E is currently hiring for a broad range of experience levels including Experienced and Senior level Manufacturing Engineers. Position Responsibilities: Synthesis of test hardware & instrumentation requirements in support of flight test Review of design models and drawings, creating/reviewing redlines and coordinating with design to incorporate updates Authorship of manufacturing plans to facilitate build

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Field Service Technician provides on-site technical support to CVS Pharmacy locations, traveling between stores to maintain and repair computer systems, hardware, and store technology. This role supports point-of-sale (POS), pharmacy systems, networking equipment, and other in-store technologies. The technician diagnoses and resolves technical issues, performs preventative maintenance, and ensures minimal disruption to store operations. This position works closely with remote support teams such as network services, software engineering, and help desk personnel to restore service and identify root causes of issues. The Field Service Technician maintains accurate service records and ensures timely resolution of all assigned work while delivering excellent in-store customer support. What You Will Do Travel between assigned CVS Pharmacy locations to provide on-site technical support and maintenance. Deliver hands-on support for store systems, including POS systems, pharmacy systems, photo kiosks, and inventory management systems. Perform preventative maintenance, software updates, hardware upgrades, and equipment replacements to ensure optimal system performance with minimal supervision. Install and integrate new technology in stores, including setup and configuration of POS terminals, peripherals, and network connectivity. <

Solution Architect Program Manager Description - Job Summary The Solution Architect Program Manager is responsible for driving advanced technology solutions from early concept through architecture definition, proof of concept, productization planning, system integration, validation, and launch readiness. This role combines deep technical capability with disciplined program execution to ensure that innovative concepts are translated into clear scope, committed deliverables, product milestones, and launch timelines. This position requires strong solution architecture judgment, structured planning, and cross-functional leadership across engineering, product, hardware, firmware, software, validation, security, operations, and external partners. The role owns the bridge between concept feasibility and production execution by defining requirements, aligning stakeholders, managing schedules, resolving technical dependencies, tracking risks, and maintaining readiness documentation required to deliver solutions on product milestones and market launch commitments. Responsibilities Drive end-to-end solution programs from concept exploration, business and technical feasibility, architecture definition, POC execution, productization planning, system integration, validation, and launch readiness. Translate ambiguous innovation concepts into clear solution scope, use cases, requirements, architecture assumptions, success criteria, milestones, resource needs, and execution plans. Own integrated schedules that align engineering deliverables with product development checkpoints, POR decisions, validation gates, manufacturing readiness, and launch timeline commitments. Partner closely with product management, system architecture, hardware, firmware, software, security, validation, operations, and external suppliers to manage dependenci

NVIDIA Research is seeking extraordinary networking innovators to join our NVResearch team. As a research intern on this team, you will contribute to the development of future high-performance networking and computing systems. We are seeking a balanced background of research excellence in building systems and a deep understanding and broad perspective across the fields of computer architecture and communication systems for distributed computation. NVIDIA has pioneered programmable GPUs and the CUDA language, and this visionary Research team will take those technologies to the next level with its creative ideas and new inventions. This position offers you the opportunity to have a real impact while working with some of the most creative and forward-thinking people in the world who are here at this dynamic, technology-focused company. What you'll be doing: Develop algorithms and design hardware and software, extending the state of the art in computing, networking, and other technology areas surrounding NVIDIA's business. Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results include prototypes, patents, and publications. Contribute to research that informs NVIDIA's technology direction 5-10 years out. Work focuses on long-horizon problems rather than products currently shipping or in development, except as to how they can be extended and improved. Projects can include but are not limited to: optimizing communication stacks for AI training and inference, designing network protocols and congestion control, co-designing AI systems across software and hardware, developing circuits and microarchitecture for network controllers and switches, and architecting networks built on optical switching and silicon photonics. What we need to see: Pursuing a

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable &#34;flight recorder&#34; for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as &#34;Hardware Fault,&#34; &#34;Software Bug,&#34; or &#34;Environment Issue.&#34; This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define &#34;signals of impending failure,&#34; enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6&#43; years in systems programming. Experience building automated

NVIDIA is transforming how the world uses AI, cloud, and accelerated computing, and trust is at the center of that mission. Our Attestation and Trust Services team builds the secure cloud services that show customers their NVIDIA platforms are healthy, resilient, and ready for their most important workloads. In this role, you help design and run services that sit at the intersection of hardware, security, and large-scale distributed systems. We partner closely with security, silicon, platform, and cloud teams to bring new ideas into reliable production services that people rely on every day. We care about building systems that last, supporting each other, and creating space for learning and experimentation. If you enjoy solving complex problems, keeping services running smoothly, and collaborating with teammates from many disciplines, we would love to talk with you! What you’ll be doing: Your main focus will be on building and managing our core attestation cloud services. Day-to-day responsibilities include crafting APIs and integrations, boosting reliability, and working alongside NVIDIA teams to convert hardware trust mechanisms and standards into production-ready solutions. You will contribute significantly to shaping how customers verify that NVIDIA platforms are secure and prepared for their workloads. Crafting and evolving attestation cloud services, APIs, and SDK/CLI integration points that confirm the integrity of NVIDIA platforms across data center, AI, networking, and partner environments. Improving reliability and operational maturity through SLOs/SLIs, alerting, runbooks, incident response, and safe rollout practices. Crafting resilient service behavior that handles dependency failures, caching challenges, regional issues, customer-side resilience needs, and graceful degradation. Architecting trust-material distribution for certificate status, re

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As the Distinguished Engineer for Security Architecture, within our Security Engineering organization, you will set the security design bar for an AI factory of hundreds of thousands of GPUs, and then build against it alongside the teams. This is the founding architecture seat in a new organization. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and this is the architecture function inside it. You will define the security design standard for DGX Cloud, a bar that sits above the company floor, and hold it from inside the teams doing the building. Security here is fleet horizontal and stack vertical, so your scope runs from the hardware root of trust and the hardened baseline, through tenancy and GPU workload isolation, to the services and APIs built on top, across every DGX Cloud engineering organization. A small team of Principal Engineers will report to you and hold the bar at domain depth. This is still a hands-on seat, and you stay in the design with them. You will also serve as DGX Cloud's technical interface into NVIDIA's central security organization. There is no architecture review board here and no approval queue; the bar holds because the strongest security engineers in the room helped set it and helped ship it. What You Will Be Doing: Set the DGX Cloud Security Bar: Own the security design standard across DGX Cloud (tenancy, GPU workloads, identity, supply chain, and isolation) and make it concrete. Reference architectures, golden paths, and requirements engineers can actually build against, not a policy library. Hold the Bar by Building: Embed with engineering teams on real work: join the design, learn the code, help ship the thing rather than grade it afterward.

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on platform power estimation and optimization Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments. What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience 8&#43; years of software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Understanding of the Linux power and thermal management features (schedule

Work Flexibility: Hybrid or Onsite Stryker is seeking a dynamic and visionary product development leader with a proven track record of leading large, complex product development programs through the application of systems engineering principles. As the technical quarterback, this individual will drive alignment, collaboration, and execution across a multidisciplinary global product line, ensuring teams work cohesively toward shared objectives while delivering innovative solutions that improve patient care. As medical technologies continue to evolve, our products must operate seamlessly within broader healthcare ecosystems and enabling technology platforms. This leader will be responsible for defining and overseeing system-level architectures, ensuring robust integration across hardware, software, data, connectivity, and partner technologies. They will champion a systems-thinking approach, proactively identify opportunities and risks, and ensuring our products deliver a seamless user experience while supporting the future needs of a connected healthcare environment. The ideal candidate combines deep technical expertise with exceptional leadership, influencing stakeholders across functions, geographies, and organizational levels to bring complex systems and product visions to life. https://www.stryker.com/us/en/nse.html What You Will Do Lead system architecture, technical strategy, and integration activities for complex medical device products and platforms. Translate customer, clinical, and business needs into system-level requirements and drive alignment across software, electrical, and mechanical engineering teams. Lead requirements development, allocation, traceability, and verification planning thro

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act