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Entry Level Nvidia Hardware Engineer Jobs in Riverside, 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 ...

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 ...

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 ...

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 ...

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 ...

Senior ML Engineer - Data Flywheel

Irvine, CA ยท On-site

$113K - $154K/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 ...

New

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 ...

3D Machine Learning Engineer

Irvine, CA ยท On-site

$150K - $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 ...

3D Machine Learning Engineer

Irvine, CA ยท On-site

$150K - $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 ...

Experience/Familiarity with embedded systems (C/C++ on constrained hardware) * Ability to work ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

Robot Autonomy Engineer - Software

Irvine, CA ยท On-site

$100K - $200K/yr

Experience/Familiarity with embedded systems (C/C++ on constrained hardware) * Ability to work ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

Showing results 41-60

Entry Level Nvidia Hardware Engineer information

See Riverside, CA salary details

$53.2K

$152.6K

$205K

How much do entry level nvidia hardware engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level 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 Entry Level Nvidia Hardware Engineer vs Entry Level Nvidia Software Engineer?

AspectEntry Level Nvidia Hardware EngineerEntry Level Nvidia Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentDesigning and testing hardware components, working in labs and on hardware prototypesDeveloping, testing, and optimizing software for Nvidia products, working in software development environments
Employer & Industry UsagePrimarily in hardware R&D, manufacturing, and product design within Nvidia and semiconductor industryIn software development teams, focusing on drivers, APIs, and application software for Nvidia hardware

Both roles require a strong technical background and collaboration with cross-disciplinary teams. Hardware engineers focus on physical components and circuit design, while software engineers develop the code that runs on Nvidia hardware. Understanding the differences helps candidates target their skills and career goals effectively.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Riverside, CA?

The most popular types of Nvidia Hardware Engineer jobs in Riverside, CA are:

What job categories do people searching Entry Level Nvidia Hardware Engineer jobs in Riverside, CA look for?

The top searched job categories for Entry Level Nvidia Hardware Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Entry Level Nvidia Hardware Engineer jobs?

Cities near Riverside, CA with the most Entry Level Nvidia Hardware Engineer job openings:

Infographic showing various Entry Level Nvidia Hardware Engineer job openings in Riverside, CA as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $152,557 per year, or $73.3 per hour.

AI Solutions Engineer (Fixed-Term)

Irvine, CA โ€ข On-site

FieldAI
201 - 500 employees

$35 - $50/hr

Temporary

Re-posted 27 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 an AI Solution Engineer at Field AI, you will work closely with strategic customers to ship production AI solutions that solve real business and operational problems. This role combines hands-on engineering, customer discovery, and product thinking to turn high-impact workflows into repeatable capabilities. If you thrive in fast-moving environments and enjoy owning outcomes from prototype to production, this role will put you at the center of customer adoption.
What You'll Do
  • Build and ship production AI features that deliver measurable customer value.
  • Work directly with customer teams to understand workflows, pain points, and success criteria.
  • Design and implement end-to-end solutions using Python and production LLM systems.
  • Translate customer requirements into reusable product capabilities, not one-off custom work.
  • Partner closely with Product, Research, and Engineering to prioritize and deliver high-impact features.
  • Identify repeatable implementation patterns and codify them into internal playbooks.
  • Travel to customer sites as needed (estimated around 10%) to accelerate deployment and adoption.

What You Bring
  • Bachelors degree or equivalent practical experience in software engineering, applied AI, or a related technical domain.
  • Strong Python proficiency and experience shipping production-grade software.
  • Experience with agentic systems, tool use, and workflow orchestration.
  • Hands-on experience building and operating production LLM applications.
  • Experience in customer discovery and translating business requirements into technical solutions.
  • Strong problem-solving and communication skills across technical and non-technical audiences.
  • High ownership mindset and ability to execute in ambiguous, cross-functional environments.
  • Ability to travel to customer sites.

What Sets You Apart
  • Familiarity with model evaluation, quality measurement, and reliability practices.
  • Background in forward deployed engineering, solutions engineering, or professional services.
  • You have built side projects or products that solve real-world workflow problems.

$35 - $50 an hour
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 Modelsโ„ข 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.