Hardware Tools Engineer Jobs

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field. You will be working with the latest NVIDIA technologies coupled with the most advanced CSP infrastructures, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers. For this role, the primary focus will be on our strategic partnership with Google (GCP). Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions. What You'll Be Doing: Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products Perform in-depth analysis and opti

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS What you’ll be doing: Design and develop new features for RTOS and hypervisor software stack. Bring up and optimize RTOS and hypervisor stacks on new NVIDIA Tegra SoCs. Develop high-integrity software using best-in-class engineering, safety, and security practices. Debug complex system-level issues across hardware, firmware, RTOS, and virtualization layers. Lead team-wide technical initiatives by building alignment, coordinating execution, and driving them to completion. What we need to see: BS, MS in CS/CE/EE or a related engineering field or equivalent experience </

Lead Electrophysics Engineer Company: The Boeing Company Boeing Defense Space & Security (BDS) is seeking highly motivated Lead Electrophysics Engineer (Level 5) to support various programs located in Huntington Beach, CA, Seal Beach, CA , or El Segundo, CA . As a part of one or more Systems Engineering Integration & Test (SEIT) teams, you will provide technical engineering and program support, while serving as the core point of contact between your payload products and the broader system team. In this role you will serve as the technical owner for a range of RF related payload products, with an emphasis on system performance, integration, supplier technical management, and cross-organizational interface management. Your products will include both experimental and operational systems, extending through all lifecycle phases (early feasibility studies through operation and disposal). An ideal candidate will be highly motivated, with a strong technical background in RF and Radar systems, space environments, and RF payload integration onto air or space platforms. Position Responsibilities: Provide expertise over a broad range of radar related activities, including performance and trade studies of radar systems and architectures Oversee development and implementation of radar signal image processing techniques Perform system engineering and integration of Radar Warning Receivers (RWR) into various systems Developing Concept of Operations for the design and utilization of RF products Perform Mission Design and payload effectiveness analysis Lead technical teams, including subcontractors, to oversee hardware and processing

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. 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 & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world. We are looking for Design Validation Engineer in Taipei for board/system power qualification and function test, responsible for NVIDIA Data Center platform, Graphics board, ARM Based platform and Autonomous Driving Platform. If you're creative and autonomous, we want to hear from you! What you'll be doing: Server/Motherboard/Mobile system functionality test. Clock/Sequency/GPIO signal measurement and verification. WAT (wide area test) function test. Gaming test. High/Low speed interface SI test. Co-work with hardware design engineers on debug and FA. Co-work with mechanical/thermal engineers for cooler/heatsink design. What we need to see: Masters degree in EE, computer science, or relative majors. Proficient with Linux system and GPU setup. Capable of writing simple shell scripts and analyzing test results using commands. Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting Proficient with a programming language (C/C&#43;&#43;, Python, Java, or Perl) Understand UEFI boot OS startup process and out-of-band (

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10&#43; years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l

NVIDIA is seeking a Senior Technical Program Manager to join the CSP Engagements team, focused on deep technical engagement with hyperscale cloud service providers for NVIDIA’s next‑generation datacenter systems such as Vera Rubin NVL72. This role is intended for experienced systems and embedded software leaders—including software engineering managers, technical leads, or senior architects—who have led datacenter server and platform software programs and can operate as a trusted technical partner to hyperscale CSP engineering teams. As a member of the CSP Engagements team, you will act as the primary technical engagement leader between NVIDIA’s system software organizations and CSP platform, system software, and AI teams, ensuring alignment, readiness, and successful large‑scale deployment of NVIDIA‑based datacenter solutions. What you will be doing: Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products. Partner directly with CSP system software, firmware, and infrastructure engineering leaders to align on software architecture, bring‑up plans, deployment readiness, and production requirements for NVIDIA‑based server and rack‑scale platforms. Represent CSP technical priorities internally, advocating for customer requirements and tradeoffs across NVIDIA’s system software, firmware, hardware, silicon, and product teams are aligned to customer needs, timelines, and constraints. Own the end‑to‑end CSP engagement lifecycle, from early technical alignment and pre‑production readiness through large‑scale deployment, escalation management, and sustained production support. Drive bi‑directional technical communication: translating CSP system‑level requirements into actionable focus areas for NVIDIA engineering teams, while clearly communicating N

We are looking for an innovative thermal solutions integration Engineer. NVIDIA offers you to be a part of the System Product Engineering group and be responsible for assuring the best quality products to be a sale and deliver to NVIDIA’ s customers. The job provides deep knowledge of NVIDIA systems, a system-level view of our solutions, and a dynamic and positive working environment and offers the candidates the opportunity to take a major role in our testing strategy by leading our thermal solutions integration and testing for the company production. NVIDIA Networking unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, we are increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with smart people who can join us at the forefront of technological advancement. If you are passionate about enabling the highest quality Network products that will change the world, we want to hear from you! What You’ll Be Doing: Integration and testing of next-generation, large-scale thermal, pressure, and liquid management solutions. Perform qualification tests for cutting edge cooling and sensing solution. Analyse and summarize thermal performance data and fluid dynamics results to support design reviews and decision-making. Primary onsite focal point for malfunctions in thermal liquid cooling stations. Diagnose and resolve hardware/software issues to maintain continuous development labs activity Maintain and update hardware (manifolds, connectors, sensors) and software versions across all thermal systems according to engineering specifications. Perform initial RCA on thermal system failures. Extract detailed fail reports and corrective/

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. The Thin Films Equipment Engineering team at Micron develops and enhances advanced semiconductor manufacturing equipment in a fast-paced research and development environment. The team works closely with Process Engineering, Facilities Engineering, and equipment suppliers to enable next-generation memory technologies and achieve world-class equipment performance. Through innovation, collaboration, and data-driven decision-making, the team plays a critical role in advancing semiconductor technology development. As a Thin Films Equipment Engineering Intern, you will gain hands-on experience working with groundbreaking semiconductor equipment and processes. You will support engineering projects focused on equipment optimization, data analysis, and technology development while collaborating with multi-functional teams. This role provides exposure to semiconductor manufacturing, experimental design, and the application of advanced analytics to solve complex engineering challenges. Responsibilities Collect, analyze, and interpret equipment and process data to find opportunities for performance optimization and continuous improvement. Support structured engineering experiments, document findings, and communicate results through technical reports and presentations. Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address technology-development challenges and improve equipment performance. Develop an understanding of equipment hardware,

Experienced Simulation Software Engineer - Training Systems Company: The Boeing Company The Boeing Company is looking for an Experienced Simulation Software Engineer - Training Systems to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . The Government Training Team develops innovative simulation software solutions that advance pilot readiness and mission success. This Software Engineer role involves designing, architecting, and developing simulation models, virtual environments, and frameworks, while collaborating with stakeholders to optimize overall simulation performance. Responsibilities include simulation validation, integration, and modernization of legacy software within a secure Agile development environment. The role requires strong expertise in C&#43;&#43;, with additional knowledge of Python, containerization, and cloud-based technologies. Familiarity with emerging software engineering methods and prior aviation or engineering experience are highly valued for contributing to this fast-paced, mission-focused team. At The Boeing Company, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Position Responsibilities: Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms, and frameworks to enhance test performance, safety, and durability of software and hardware throughout the entire product lifecycle Partners with stakeholders to identify simulation r

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your role at Baxter The Principal Systems Engineer will serve as a Product Design Owner (PDO) responsible for technical owner for the design, risk and integration of infusion pump systems and/or projects, which combine electro-mechanical hardware, embedded software, and user interface components, as well as the interface with other related EM and/or digital products. This role drives operational excellence and predictable, consistent execution in our products, and design and risk integrity and may serve as Risk Owner on some projects. The engineer is accountable for product safety, performance, reliability, usability and regulatory compliance, as well as risk. The PDO drives design decisions, manages design control activities, may be accountable for a product risk file, and collaborates across engineering disciplines and cross-functions to deliver robust, reliable, safe and innovative infusion therapy solutions. What you will be doing: Leads interdisciplinary design and development of medical products in compliance with FDA, EU MDR,

We’re hiring at Paytm Payments Services Limited(PPSL) About the Role- As a Product Manager (Devices), you will own and lead the device charter across Soundbox, EDC, and emerging AI-enabled devices. You will set the strategy, define the roadmap, and work closely with CXOs to drive merchant experience, operational efficiency, and business impact. Key Responsibilities- - Define and own the device roadmap & vision aligned to Paytm’s growth strategy. - Lead end-to-end device lifecycle management: activation → monitoring → predictive health → refurb/replacement → end-of-life. - Drive AI-powered device innovation (merchant-facing AI device, multilingual bot integration). -Influence leadership and cross-functional priorities with data-backed recommendations. - Mentor PMs/Associate PMs and build a strong device product culture. - Track industry benchmarks and competitive landscape to position Paytm devices ahead of peers. What You’ll Contribute To - Large-scale AI adoption strategy. - Cross-device predictive health models to reduce downtime and false positives. - Proactive merchant engagement through Device and CLM. - Sustainability & cost efficiency through smart refurb and replacement policies. Skills & Qualifications- - Product experience, with at least 2 years owning device/IoT/fintech hardware products. - Strong leadership & roadmap ownership skills, with CXO-level exposure. - Experience in driving cross-functional programs (engineering, business, operations). - Strategic thinker with execution excellence. Ability to influence stakeholders and mentor junior PMs. Why join us? A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Respect, that is earned, not demanded from your peers and manager Compensation: If you are the right fit, we believe in cre

Job Details: Job Description: Shape the Future of Confidential Computing! Join Intel's elite engineering team to validate TDX (Trusted Domain Extensions) - a breakthrough technology redefining security and virtualization. Work on one of the industry's most complex and impactful products, where functional validation meets deep technical innovation. Why You'll Love This Role: High Impact: Ensure the reliability of TDX, a cornerstone of Intel's confidential compute. Deep Technical Challenge: Validate across the stack-firmware, OS, drivers, middleware, SDKs, and apps. Code-Driven: Build frameworks, automation, and reference implementations. Innovation at Scale: Operate at the intersection of security, virtualization, and cloud. Career Growth: Collaborate with world-class engineers on advanced architectures. Qualifications: Minimum Qualifications: Education BSc or MSc in Computer Science, Computer Engineering, or Electrical Engineering. Experience 5-7 years in software/hardware validation or verification. 5-7 years coding in higher-level languages: C or C&#43;&#43;. Skills Proficient in English. Excellent communication and teamwork skills. Strong analytical and problem-solving abilities. Preferred Qualifications: Operating Systems and Virtualization Pre/Post-Silicon validation Specman experience What we offer: At Intel, employees share in successes, enjoy comprehensive rewards and are inspired by an innovative & inclusive workplace. What can you expect when there is a match between us? <li

NVIDIA is the defining technology company of the Artificial Intelligence era. Our legacy of innovation is powered by extraordinary technology—and extraordinary people. Achieving what has never been done before demands vision, innovation, and the world’s best talent! We are seeking a deeply technical Product Manager to shape the enterprise software stack for next-generation AI factories, built on NVIDIA’s industry-leading GPUs and purpose-designed CPUs. This includes bare-metal orchestration, Kubernetes-native services, and full-stack AI platform capabilities to power the enterprise AI factory. At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA’s Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD—the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises! What you'll be doing: Understand NVIDIA’s strategic position and deliver an enterprise computing platform recognized as the best in the industry. Own the complete solution lifecycle—from solution definition through development and go-to-market—for NVIDIA Mission Control software stack to drive adoption of the NVIDIA technologies in Enterprise market. Leverage strong technical background to define product requirements and user stories for solutions by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA. Establis

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. 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 usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major 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: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. What you will be doing: Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components. Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware. What we need to see: M.S./Ph.D. degree in CS/CE or equivalent experience. 5&#43; years of relevant experience. Excellent C/C&#43;&#43; programming and debugging skills. Strong experience with Linux. Expert understanding of computer syst