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Internship Electrical Engineer Nvidia Jobs in Riverside, CA

Eaton

Senior Product Engineer

Fontana, CA · On-site

$86K - $126K/yr

Minimum one (1) year of product, design, electrical, or sales engineering experience in a manufacturing environment (Co-ops and internships will count towards this requirement) * Eaton will not ...

Aveva

Power Engineer

Irvine, CA

Relevant coursework, internship, or hands-on experience in electrical power systems * Passed Fundamentals of Engineering (FE/EIT) or Professional Engineer (PE) exam * Familiarity with power system ...

ETAP

Power Engineer

Irvine, CA · On-site

Relevant coursework, internship, or hands-on experience in electrical power systems * Passed Fundamentals of Engineering (FE/EIT) or Professional Engineer (PE) exam * Familiarity with power system ...

Everforth, Cybercoders

Controls Engineer I

Chino, CA

$50K - $80K/yr

Troubleshoot electrical and control system issues to minimize downtime * Participate in system ... Experience gained through coursework, projects, internships, co-ops, or professional experience is ...

Posted today

Bright Uro

RD Internship Medical Device Company

Irvine, CA · On-site

$18 - $23.25/hr

We are seeking several motivated interns to join our small, fast-moving team and contribute to ... Working toward a degree in Engineering (Electrical, Software, Mechanical, or Biomedical), Computer ...

VSolvit

SYSTEMS ENGINEER ANALYST

Norco, CA · On-site

... Electrical Engineering, Industrial Engineering, Computer Engineering, or related engineering discipline. * 0-2 years of engineering experience (internships acceptable). * Strong analytical and ...

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Internship Electrical Engineer Nvidia information

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How much do internship electrical engineer nvidia jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship electrical engineer nvidia in Riverside, CA is $22.60, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $25.10 per hour, depending on experience, location, and employer.

What does an internship electrical engineer do at Nvidia?

An Internship Electrical Engineer at Nvidia assists in designing, testing, and troubleshooting hardware components for advanced computing products such as GPUs and AI systems. Interns may work with cross-functional teams to develop circuit boards, analyze electrical performance, and support prototype builds. They gain hands-on experience with industry-leading technology while learning about Nvidia’s design and manufacturing processes. The role involves using engineering tools, running simulations, and documenting findings to contribute to the development of innovative products.

What kinds of projects do electrical engineering interns typically work on at Nvidia, and how do these projects contribute to the company's goals?

As an Electrical Engineering intern at Nvidia, you can expect to work on hands-on projects that support the development and testing of cutting-edge hardware components, such as GPUs and AI accelerators. Interns often assist in circuit design, schematic review, board bring-up, and validation, collaborating closely with experienced engineers. These projects are integral to Nvidia's mission of advancing high-performance computing and AI technologies, and your contributions can have a direct impact on the performance and reliability of Nvidia’s products. The fast-paced, team-oriented environment encourages learning and skill development while providing valuable industry experience.

What are the key skills and qualifications needed to thrive as an internship electrical engineer at Nvidia, and why are they important?

To thrive as an Internship Electrical Engineer at Nvidia, you need a solid background in electrical engineering principles, circuit design, and familiarity with hardware development, typically supported by enrollment in or recent graduation from an accredited engineering program. Experience with tools such as SPICE simulation, PCB design software (e.g., Altium Designer), and programming languages like Python or C/C++ is highly beneficial. Strong problem-solving abilities, collaboration, and effective communication help interns contribute to team projects and adapt to Nvidia's fast-paced environment. These skills and qualities are crucial for delivering innovative hardware solutions and supporting Nvidia’s cutting-edge technology development.

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Electrical Engineer, Robotics Hardware- Part-time Internship

FieldAI

Irvine, CA • On-site

$27 - $30/hr

Full-time, Part-time, Internship

Posted 11 days ago

Job description

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. 

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for an Electrical Engineer- Part-time Intern to assist in the design and development of electrical systems and components. In this role, you will sit at the interface of mechanical, electrical, embedded software, and autonomy systems. Assist in the design and development of electrical systems and components. Conduct testing and analysis of electrical circuits and systems. Collaborate with senior engineers on project tasks and problem-solving.

$27 - $30 an hour

What You Have

  • Education: Current B.S., M.S., or Ph.D. student in Robotics, Electrical Engineering, Mechanical Engineering or a related field.

  • Robotic Platforms: Familiarity with diverse robotic platforms, their capabilities, limitations, and trade-offs, and how to adapt payloads accordingly.

  • Robotics Firmware & APIs: Hands-on experience applying robot SDKs, APIs, and native libraries to implement and validate advanced maneuvers or joint-level control.

  • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.

  • Testing & Validation: Comfort designing and executing repeatable test protocols for mobility, stability, runtime, and terrain handling; experience verifying manufacturer specifications before and after payload integration.

  • Field Systems: Experience designing or supporting complementary systems such as docking solutions, charging stations, or protective enclosures.

The Extras That Set You Apart

  • Scaling:  Experience taking systems from prototype through design iteration.

  • Field Environments: Experience developing systems for harsh field environments.

  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

  • Systems Level Robotics: Fluency across mechanical, electrical, and software systems.

  • Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, 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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