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Internship 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 ...

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 ...

DevOps Engineer, Web Platform

Irvine, CA · On-site

$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 ...

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 ...

Software Engineer, Web

Irvine, CA · On-site

$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 ...

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 ...

Software Engineer, Web

Irvine, CA · On-site

$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 ...

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 ...

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 ...

Software Engineer, Web

Irvine, CA · On-site

$120 - $150/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 ...

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 ...

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 ...

Showing results 41-60

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 Aug 28, 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.

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:

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

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

Infrastructure Security Engineer

FieldAI

Irvine, CA

$153K/yr

Full-time

Re-posted 4 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.

About the Job

The Infrastructure Security Engineer will secure the cloud infrastructure and deployment platforms powering FieldAI's autonomous robotic systems. You will work closely with engineering teams to design, assess, and improve the security of large-scale distributed systems operating in production environments. This is a hands-on engineering role focused on Kubernetes security, cloud-native infrastructure, CI/CD systems, software supply chains, identity and access management, and production deployment platforms. Your work will directly impact the reliability, resilience, and security of critical infrastructure supporting real-world autonomous system operations.

What You'll Get To Do
  • Design and improve the security architecture of cloud-native infrastructure and Kubernetes environments
  • Secure CI/CD systems, software supply chains, build pipelines, and deployment workflows
  • Improve identity, authentication, secrets management, and access control across production systems
  • Harden Kubernetes clusters, containerized workloads, and runtime environments against modern attack vectors
  • Conduct threat modeling and security reviews across infrastructure and operational systems
  • Partner closely with engineering teams to integrate practical security controls into development and operational workflows
  • Investigate vulnerabilities affecting production infrastructure and help drive remediation and resilience improvements
  • Help define security standards and best practices for large-scale distributed systems and operational infrastructure
What You Have
  • Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical field
  • 5+ years of experience in infrastructure security, cloud security, platform security, SRE, or related domains
  • Strong software engineering, systems engineering, and networking fundamentals
  • Experience securing cloud infrastructure and distributed production systems
  • Experience with Kubernetes, containerized environments, CI/CD systems, and infrastructure automation
  • Familiarity with identity and access management, secrets management, authentication systems, and secure infrastructure design
  • Experience with threat modeling, security architecture reviews, vulnerability management, or adversarial security assessments
  • Strong collaboration and communication skills with the ability to work cross-functionally across infrastructure and engineering teams
  • Practical engineering judgment and the ability to balance security, operational reliability, scalability, and development velocity
The Extras That Set You Apart
  • Experience securing large-scale distributed or cloud-native systems
  • Familiarity with software supply chain security, artifact signing, or build provenance systems
  • Experience with runtime security, Kubernetes security, or production infrastructure hardening
  • Background in platform engineering, SRE, infrastructure engineering, or cloud-native operations
  • Experience with offensive security, penetration testing, or adversarial infrastructure assessments
  • Experience supporting operationally critical or mission-critical production environments
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.
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