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Internship Nvidia Hardware Engineer Jobs in Riverside, CA

FieldAI

Software Engineer, ROS Developer

Irvine, CA

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

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/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

Software Engineer, DevOps

Irvine, CA

$56.50 - $77.50/hr

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

DevOps Engineer, Web Platform

Irvine, CA · On-site

$115K - $190K/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

Software Engineer, Test Infrastructure

Irvine, CA · On-site

$135K - $170K/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

DevOps Engineer, Web Platform

Irvine, CA · On-site

$125K - $170K/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

DevOps Engineer, Web Platform

Irvine, CA

$56.50 - $77.50/hr

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 ...

Field AI

Software Engineer, Web

Irvine, CA

$155K - $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

Forward Deployed Engineer

Irvine, CA

$70K - $300K/yr

Collaborate across software, hardware, and AI research groups to deliver integrated solutions ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

FieldAI

Forward Deployed Engineer

Irvine, CA · On-site

$70K - $300K/yr

Collaborate across software, hardware, and AI research groups to deliver integrated solutions ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

FieldAI

Forward Deployed Engineer

Irvine, CA · On-site

$70K - $300K/yr

Collaborate across software, hardware, and AI research groups to deliver integrated solutions ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

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All JobsInternship Nvidia Hardware Engineer JobsInternship Nvidia Hardware Engineer Jobs in Riverside, CA

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 Jun 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 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.

What are the key skills and qualifications needed to thrive as an Internship Nvidia Hardware Engineer, and why are they important?

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 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 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 are popular job titles related to Internship Nvidia Hardware Engineer jobs in Riverside, CA? For Internship Nvidia Hardware Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Internship Nvidia Hardware Engineer jobs in Riverside, CA look for? The top searched job categories for Internship Nvidia Hardware Engineer jobs in Riverside, CA are:
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Internship Nvidia Hardware Engineer jobs near you
Infographic showing various Internship Nvidia Hardware Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 17% As Needed, 33% Full Time, and 50% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $152,557 per year, or $73.3 per hour.

Software Engineer, ROS Developer

FieldAI

Irvine, CA

Full-time

Posted 12 days ago

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.

As a ROS Developer, you will play a critical role in developing advanced robotic applications built on our autonomy API for diverse real-world industries, including oil & gas, construction, and mining. You will focus on designing, implementing, and optimizing perception, localization, and control modules using ROS/ROS2 to create production-grade software for autonomous systems operating in some of the world's harshest environments. This role is ideal for engineers passionate about sensor integration, robust system development, and deploying scalable autonomy solutions tailored to high-impact industrial applications.
What You Will Get To Do
  • Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control.
  • Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions.
  • Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic.
  • Implement and optimize real-time data processing pipelines using C++ and Python.
  • Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making.
  • Design and test autonomous behavior on physical platforms in real-world field scenarios.
  • Troubleshoot robotic systems at the hardware-software interface and develop diagnostics and recovery systems.
What You Have
  • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
  • Strong software engineering skills, with proven experience building production-quality robotics applications.
  • Expertise in C++ and Python, writing clean, efficient, and maintainable code using modern best practices.
  • Hands-on experience developing with ROS/ROS2, including designing, building, and deploying custom nodes into complex robotic systems. 
  • Solid understanding of localization, SLAM, sensor fusion, and navigation systems. 
  • Familiarity with sensor integration (LiDAR, thermal, RGB, depth, GPS, IMU) and multi-modal data handling.
  • Practical experience with state estimation frameworks and real-time data processing pipelines. 
  • Comfortable working with system-level topics like networking, inter-process communication (IPC), and middleware.
  • Strong problem-solving skills and attention to detail, able to work independently while managing multiple priorities.
  • Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset.
What Will Set You Apart
  • Experience deploying robotic software in production environments (construction, mining, oil & gas, or similar industries).
  • Familiarity with noisy sensor data and building robust, resilient algorithms.
  • Experience integrating robotic systems with web services, APIs, and cloud infrastructure.
  • Background in working with computationally constrained platforms and optimizing for real-time performance.

Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.

In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.

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 statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.