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Internship Electrical Engineer Nvidia Jobs (NOW HIRING)

OR · On-site

Minimum of a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical ... NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ...

... electrical, fire/life safety, and control systems across the site. In this role, you'll drive ... Facilities Engineer, Maintenance Engineer, Building Systems Engineer, Senior Maintenance Technician ...

Senior ASIC Infrastructure Engineer

Santa Clara, CA · Hybrid

$127K - $173K/yr

NVIDIA is looking for a Senior Infrastructure Engineer! NVIDIA is looking to tap onto AI to define ... What we need to see: * BS/MS in Computer Science or Computer Engineering or Electrical Engineering ...

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... What we need to see: * BS or MS in electrical engineering or computer engineering (or equivalent ...

OR · On-site

Provide guidance to NVIDIA product teams based on OEM's feature requirements and deployment models. What we need to see: * BS or MS in Electrical Engineering, Computer Science, or related field (or ...

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... What we need to see: * BS or MS in electrical engineering or computer engineering (or equivalent ...

OR · Hybrid

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... What we need to see: * BS or MS in electrical engineering or computer engineering (or equivalent ...

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... What we need to see: * BS or MS in electrical engineering or computer engineering (or equivalent ...

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... What we need to see: * BS or MS in electrical engineering or computer engineering (or equivalent ...

OR · On-site

NVIDIA's AI platforms have already made a major impact on the field and are broadly used across ... What we need to see: * BS or MS in Engineering, Electrical Engineering, Physics, or Computer ...

GPU Verification Engineer

Westford, MA · On-site

$141K/yr

NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world's leading GPUs ... A Bachelor's Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or ...

NVIDIA is seeking ASIC Design Engineers to implement the world's leading SoC's and GPU's. This ... Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or ...

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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 Jun 9, 2026, the average hourly pay for internship electrical engineer nvidia in the United States is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.04 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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What cities are hiring for Internship Electrical Engineer Nvidia jobs? Cities with the most Internship Electrical Engineer Nvidia job openings:
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What states have the most Internship Electrical Engineer Nvidia jobs? States with the most job openings for Internship Electrical Engineer Nvidia jobs include:
Infographic showing various Internship Electrical Engineer Nvidia job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 90% Full Time, and 8% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $45,064 per year, or $21.7 per hour.
Software Engineer, NVIDIA OpenShell

Software Engineer, NVIDIA OpenShell

Nvidia

OR • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NVIDIA is defining the next era of computing by tapping into the unlimited potential of AI, an era where our GPU acts as the brains of computers, robots, and self-driving cars. Joining the OpenShell team offers a unique opportunity to work on a highly advanced platform that enables this future. This core system provides secure, sandboxed runtimes essential for autonomous AI agents. The OpenShell platform is sophisticated, incorporating a control-plane gateway, a privacy-conscious inference router, declarative policy enforcement, and specialized container and VM-based sandbox execution environments. This is a chance to make a lasting impact on the world alongside some of the most forward-thinking and hardworking people on the planet.

What you'll be doing:

  • Work across the full stack of a distributed systems platform, from crafting gRPC contracts to building secure sandbox runtimes.

  • Implement and harden network security features, including policy enforcement, L4/L7 proxies, and secure inter-service communication using mTLS.

  • Develop core platform components such as inference routing, ensuring model provider adapters, credential management, and protocol translation integrate seamlessly with the sandbox and gateway.

  • Build reliable configuration and control plane systems that handle state divergence, implement reconciliation loops, and support safe merging and hot-reloading policies.

  • Own the operability experience by creating effective CLI tools, managing release automation, and instrumenting all systems for observability with structured logging and distributed tracing.

What we need to see:

  • Minimum of a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.

  • 8+ years of meaningful experience.

  • Proficiency in systems programming, including building and debugging long-running services, async runtimes, and handling OS-level integration.

  • Deep knowledge of distributed systems/control planes, including reasoning about state divergence, building reconciliation loops, and designing crash recovery paths.

  • Experience with Container/Sandbox Internals, managing isolated workloads, process lifecycle, capabilities, and network namespaces.

  • Familiarity with gRPC and Protobuf, including crafting machine-to-machine APIs with clean streaming semantics and version safety.

  • Experience operating and extending workloads on Kubernetes, including working with compute drivers, image management, and detailed debugging.

  • Ability to secure inter-service communication using mTLS, gateway registration flows, and non-browser identity verification.

  • Proficiency in instrumenting systems with structured logging, health checks, and distributed tracing for production observability.

Ways to stand out from the crowd:

  • Familiarity with virtualization technologies and alternative runtimes, such as microVMs (e.g., libkrun).

  • Experience improving operator experience through CLI/TUI development, status reporting, and clear error messages.

  • Comfort working at cross-language boundaries, specifically between Rust, Python, protobuf codegen, and shell scripting.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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