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Internship Nvidia Hardware Engineer Jobs in Riverside, CA

Capgemini

Embedded SW Engineer

Irvine, CA · On-site

$41.61 - $65.01/hr

... hardware (x86, ARM, and specialized accelerators). Key Responsibilities * Support porting ... Familiarity with NVIDIA Jetson family based platforms will be added plus * Performing checks using ...

Ztek Consulting INC

Embedded SW Engineer

Irvine, CA · On-site

$141K - $185K/yr

Provide minimal hardware initialization for Linux kernel boot. BSP & Board Bring-Up Develop and ... NVIDIA Jetson family based platforms will be added plus Mandatory skills: Linux kernel module ...

Rivian VW Group

Staff Embedded Software Engineer

Irvine, CA · On-site

$141K - $185K/yr

Lead and contribute to the bring‑up of new hardware platforms at the ECU level for infotainment ... Platforms: Strong hands‑on experience with high‑performance SoCs such as Snapdragon, NVIDIA ...

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA

$70K - $90K/yr

Diagnose, replace, and configure hardware components, including sensors, actuators, compute modules ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA · On-site

$70K - $90K/yr

Diagnose, replace, and configure hardware components, including sensors, actuators, compute modules ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA · On-site

$70K - $90K/yr

Diagnose, replace, and configure hardware components, including sensors, actuators, compute modules ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

FieldAI

Robotics Autonomy Engineer - Triage

Irvine, CA

$100K - $200K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Robotics Autonomy Engineer - Triage

Irvine, CA · On-site

$100K - $200K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Robotics Autonomy Engineer - Triage

Irvine, CA

$100K - $200K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Robotics Autonomy Engineer - Triage

Irvine, CA · On-site

$100K - $200K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Senior Software Engineer, ROS Engineer

Irvine, CA · On-site

$180K - $250K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

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Internship Nvidia Hardware Engineer information

See Riverside, CA salary details

$53.2K

$152.6K

$205K

How much do internship nvidia hardware engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for internship nvidia hardware engineer in Riverside, CA is $152,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $170,100.00 per year, depending on experience, location, and employer.

What does an internship Nvidia hardware engineer do?

An Internship Nvidia Hardware Engineer works alongside experienced engineers to assist in designing, testing, and validating hardware components such as GPUs, processors, and related systems. Interns typically get hands-on experience with circuit design, simulation, debugging, and performance analysis. They may also collaborate with cross-functional teams to optimize hardware for efficiency and performance. This role gives students exposure to industry-standard tools and real-world engineering challenges, preparing them for future careers in hardware engineering.

What are the key skills and qualifications needed to thrive as an internship Nvidia hardware engineer?

To thrive as an Internship Nvidia Hardware Engineer, you need a solid understanding of electrical engineering fundamentals, digital/analog circuit design, and relevant coursework or project experience. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools (like ModelSim or Cadence), and version control systems is typically expected. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top candidates in this role. These skills and qualities are crucial to efficiently contribute to complex hardware development projects and collaborate within multidisciplinary engineering teams.

What kinds of projects can an intern expect to work on as a hardware engineer at Nvidia?

As a Hardware Engineer intern at Nvidia, you can expect to be involved in hands-on projects that support the development, testing, and validation of hardware components such as GPUs, system boards, or AI accelerators. Interns often collaborate closely with experienced engineers, contributing to tasks like schematic reviews, board bring-up, signal integrity analysis, or automation of testing procedures. These projects provide opportunities to learn industry-standard tools and workflows, as well as gain practical experience in problem-solving and cross-functional teamwork. This exposure not only builds technical skills but also helps interns understand the end-to-end hardware development lifecycle.

What is the difference between Internship Nvidia Hardware Engineer vs Nvidia Hardware Engineer?

AspectInternship Nvidia Hardware EngineerNvidia Hardware Engineer
QualificationsEnrolled in a relevant degree program, some technical courseworkBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentInternship program, mentorship, collaborative teamsFull-time, professional environment, project ownership
ResponsibilitiesAssist in hardware design, testing, and documentationDesign, develop, and optimize hardware components and systems

Internship Nvidia Hardware Engineers are students gaining practical experience, focusing on learning and assisting with hardware projects. Nvidia Hardware Engineers are full-time professionals responsible for designing and developing advanced hardware solutions. The internship offers a pathway to a career in hardware engineering, while full-time roles involve more responsibility and expertise.

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Internship Nvidia Hardware Engineer jobs near you

Robotics Engineer, Humanoid System Integration

Irvine, CA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$179K/yr

Full-time

Re-posted 15 days ago

Key responsibilities

  • Integrate humanoid subsystems into a reliable full-stack robot system running on physical hardware.

  • Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.

  • Own robot bring-up, calibration, configuration, diagnostics, and validation workflows.

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

The Robotics Engineer, Humanoid System Integration will own the integration of humanoid software and hardware subsystems into a cohesive robot stack that is testable, debuggable, and deployment-ready. This role is responsible for bringing together perception, localization, planning, locomotion, manipulation, controls, sensors, compute, networking, diagnostics, and release workflows.
What You'll Do

  • Integrate humanoid subsystems into a reliable full-stack robot system running on physical hardware.

  • Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.

  • Own robot bring-up, calibration, configuration, diagnostics, and validation workflows.

  • Debug system-level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior.

  • Develop integration tests, regression tests, telemetry tools, dashboards, and release-readiness checks.

  • Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable.

  • Harden research or prototype capabilities into maintainable, testable, deployment-ready modules.

What You Bring

  • MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure.

  • Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome.

  • Strong hands-on experience integrating robotic systems on real hardware — must include physical hardware; simulation-only backgrounds will not be considered.

  • Strong C++ and Python skills in Linux-based robotics environments.

  • Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems.

  • Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints.

  • Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams.

What Sets You Apart

  • You've integrated a humanoid or legged/mobile manipulation platform from bring-up through field deployment — not just research or simulation.

  • You've owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware.

  • You've built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys.

  • You carry hard-won instincts about what separates a demo-ready system from a deployment-ready one — and you've acted on that distinction.

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.