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Independent Contractor Electrical Engineer Nvidia Jobs

Nvidia

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 ...

Accura Engineering

Electrical Engineer

Memphis, TN · On-site

Electrical Engineer Work Location: Redstone Arsenal, AL (Huntsville, AL) Salary: Based on ... Participates in design reviews of and provides comments on contractor submittals on electrical ...

Accura Engineering

Electrical Engineer

Atlanta, GA · On-site

Electrical Engineer Work Location: Redstone Arsenal, AL (Huntsville, AL) Salary: Based on ... Participates in design reviews of and provides comments on contractor submittals on electrical ...

Accura Engineering

Electrical Engineer

Nashville, TN · On-site

Electrical Engineer Work Location: Redstone Arsenal, AL (Huntsville, AL) Salary: Based on ... Participates in design reviews of and provides comments on contractor submittals on electrical ...

Accura Engineering

Electrical Engineer

Knoxville, TN · On-site

Electrical Engineer Work Location: Redstone Arsenal, AL (Huntsville, AL) Salary: Based on ... Participates in design reviews of and provides comments on contractor submittals on electrical ...

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All JobsIndependent Contractor Electrical Engineer Nvidia Jobs

Independent Contractor Electrical Engineer Nvidia information

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$50.5K

$111.1K

$168K

How much do independent contractor electrical engineer nvidia jobs pay per year?

As of Jun 9, 2026, the average yearly pay for independent contractor electrical engineer nvidia in the United States is $111,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $132,000.00 per year, depending on experience, location, and employer.

How does working as an independent contractor electrical engineer at Nvidia differ from a full-time engineering role in terms of project involvement and team collaboration?

As an independent contractor electrical engineer at Nvidia, you'll typically be engaged for specialized projects or to provide expertise on specific aspects of complex hardware development. Unlike full-time employees, contractors often have greater flexibility but may have more defined project scopes and shorter-term commitments. You will collaborate closely with internal engineering teams, attend regular project meetings, and coordinate deliverables, but you may not participate in broader company initiatives or long-term strategic planning. This role allows you to focus your skills on high-impact tasks while gaining exposure to cutting-edge technologies, although it may require quickly adapting to Nvidia’s workflow and communication tools.

What are the key skills and qualifications needed to thrive as an Independent Contractor Electrical Engineer at Nvidia, and why are they important?

To excel as an Independent Contractor Electrical Engineer at Nvidia, you need a solid background in electrical engineering principles, circuit design, and experience with high-speed digital and analog systems, typically supported by a bachelor's or master's degree in electrical engineering. Proficiency with tools such as SPICE simulators, PCB design software (like Altium Designer or Cadence), and familiarity with industry standards and certifications (such as IPC or IEEE) are essential. Strong problem-solving skills, effective communication, and the ability to manage projects independently distinguish top performers in this role. These competencies ensure the delivery of innovative, reliable hardware solutions that meet Nvidia's technical requirements and project timelines.

What does an Independent Contractor Electrical Engineer do at Nvidia?

An Independent Contractor Electrical Engineer at Nvidia is typically responsible for designing, developing, and testing electrical components and systems used in Nvidia’s hardware products, such as GPUs and AI accelerators. They work on a contract basis rather than as full-time employees, often tackling specialized projects or providing expertise in areas like PCB design, signal integrity, or power management. Their work involves collaborating with internal engineering teams, ensuring compliance with industry standards, and delivering technical documentation. This role allows for flexibility and autonomy while contributing to Nvidia’s cutting-edge technology.

What is the difference between Independent Contractor Electrical Engineer Nvidia vs Contract Electrical Engineer?

AspectIndependent Contractor Electrical Engineer NvidiaContract Electrical Engineer
CredentialsElectrical engineering degree, certifications, specialized Nvidia knowledgeElectrical engineering degree, certifications, general industry knowledge
Work EnvironmentProject-based, remote or onsite at Nvidia facilitiesProject-based, varies by client, often onsite or remote
Employer/IndustryIndependent contractor working primarily with Nvidia or tech industryContractor working across various industries including tech, manufacturing, or utilities

In summary, an Independent Contractor Electrical Engineer Nvidia specializes in Nvidia-related projects, often requiring specific knowledge of Nvidia technologies, while a Contract Electrical Engineer works on diverse projects across multiple industries. Both roles are project-based and require electrical engineering credentials, but the Nvidia-focused role emphasizes Nvidia-specific expertise.

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Independent Contractor Electrical Engineer Nvidia jobs near you
Infographic showing various Independent Contractor Electrical Engineer Nvidia job openings in the United States as of May 2026, with employment types broken down into 22% Full Time, 45% Part Time, and 33% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,091 per year, or $53.4 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.
Nvidia logo

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

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