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Internship Electrical Engineer Nvidia Jobs in Springfield, VA

Research Engineering Interns

Reston, VA · On-site

$17.50 - $22.75/hr

Internship Opportunity We are seeking Electrical Engineering, Computer Science, and Computer Engineering students for an internship in the Strategic Systems Operations Division of the Applied ...

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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 17, 2026, the average hourly pay for internship electrical engineer nvidia in Springfield, VA is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 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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Cities near Springfield, VA with the most Internship Electrical Engineer Nvidia job openings:

Infographic showing various Internship Electrical Engineer Nvidia job openings in Springfield, VA as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $47,070 per year, or $22.6 per hour.

Senior Manager, Software Engineering - Robotics Manipulation

Nvidia

Herndon, VA • On-site

Full-time

Re-posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac robotics platform - spanning Isaac Sim, Isaac Lab, Isaac ROS, the foundation models behind Isaac GR00T, and the accelerated libraries that run on Jetson and in the data center - is how the world's developers and industrial leaders build intelligent robots.

We are looking for an exceptional engineering leader and manager to head up Isaac for Manipulation: giving robotic arms and dexterous systems the perception, grasping, motion, and learned skills they need to do real, impactful work. You will be responsible for the strategy, roadmap, and execution for Manipulation - turning hard, contact-rich problems in manufacturing, logistics, and industrial automation into shipping capabilities that our partners and developers can build on. This is a high-visibility role with direct line of sight to the most consequential problems in robotics today. You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold technical direction, and partner deeply with the robot-arm and industrial-automation ecosystem to make NVIDIA the default platform for robotic manipulation.

What you'll be doing:

  • Lead the Isaac Manipulation team. Recruit, grow, and mentor a high-performing team of robotics software engineers; set direction, raise the technical bar, and manage the team's health, velocity, and delivery.

  • Shape the roadmap. Collaborate with Product Management to define and drive the strategy and roadmap for grasping, motion planning and control, perception-for-manipulation, and learned manipulation policies - from research to productized, supported platform capabilities.

  • Apply creative solutions to real industrial problems. Translate the hardest contact-rich manipulation tasks in manufacturing, logistics, assembly, and machine tending into robust capabilities that work in the real world, not just the lab.

  • Bridge research and product. Partner with NVIDIA Research, the Isaac Sim/Lab teams, and foundation-model teams (e.g., Isaac GR00T, Cosmos) to bring sim-to-real, imitation, and reinforcement learning approaches into the platform and onto physical arms.

  • Engage partners and developers. Serve as a technical face of Isaac Manipulation to robot-arm OEMs, system integrators, and the developer community - gathering requirements, running joint engineering, and ensuring our APIs and tools meet real workflows. Support our ecosystem of developers through responsible migration handling of their solutions built on our durable platform.

  • Leverage accelerated compute. Drive architecture and execution that fully uses NVIDIA GPUs, CUDA, and the accelerated-computing stack across simulation, training, and on-robot inference on Jetson and edge platforms.

  • Deliver. Drive planning and execution of complex, multi-functional programs; own quality, performance, and the real-world deployment of learned policies and manipulation stacks on physical robots.

  • Influence the strategy. Represent manipulation in platform-level technical and business decisions, and help shape where NVIDIA invests across the robotics stack.

What we need to see:

  • BS, MS, or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field (or equivalent experience).

  • 12+ total years of relevant industry experience building robotics or robotics-adjacent systems, including 3+ years leading, mentoring, and managing engineering teams.

  • Robotic arm depth. Hands-on expertise with robotic arms, manipulation, and physics from grasping, motion planning (across both numerical optimization and sampling-based approaches), and control (including force/impedance and contact-rich control) to perception-guided manipulation.

  • Accelerated compute. Working understanding of GPU-accelerated computing and modern ML infrastructure, and how to architect robotics software to take advantage of it (CUDA, PyTorch, GPU-accelerated simulation, edge inference).

  • Partner and developer interface. Demonstrated ability to work directly with external partners, customers, and developer communities and to translate their needs into roadmap and shipping product.

  • Technical credibility. Strong software engineering fundamentals (modern C++ and Python) and the ability to engage substantively in technical and architectural decisions with your team.

Ways to stand out from the crowd:

  • Industry leadership and fluency. Experience building manipulation or industrial automation products at an established robot-arm company or manipulation startup, and a strong understanding of the product landscape including use cases, the integrators, and the platforms from leading vendors.

  • Hardware-agnostic platforms. A track record building developer-facing or low-code platforms and tooling that abstract across multiple robot-arm brands and make manipulation accessible to non-experts.

  • Learned manipulation. Deep experience with imitation learning, reinforcement learning, sim-to-real transfer, or manipulation foundation models, and shipping learned policies onto real hardware.

  • Ecosystem & OSS. Contributions to ROS 2, ros2_control, MoveIt, or the broader robotics open-source and standards community.

  • Founder / 0-to-1 instincts. Experience starting or scaling a product or team from the ground up and operating with speed in ambiguous, fast-pace problem spaces.

Manipulation is one of the defining unsolved problems in robotics, and NVIDIA is uniquely positioned - across simulation, foundation models, and accelerated compute - to solve it at platform scale. You'll lead a team that the entire robotics industry builds on, and your work will show up on factory floors and in warehouses around the world!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993