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Temporary Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Hardware Validation Engineer

Santa Clara, CA · Hybrid

$145K - $191.40K/yr

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Maintain the Engineering Requirements Document (ERD) to capture and track validation platform ...

Nvidia

Senior IO Validation Engineer

Santa Clara, CA · Hybrid

$122.70K - $168.50K/yr

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Work closely with other engineering teams such as system architects, mixed signal and design, DGX ...

Nvidia

OR

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled ... Bachelor's degree in Engineering, Cybersecurity, Data Engineering, or a related technical field, or ...

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$29/hr

Temp-to-Perm Duration: 6 months+ (May 2026 - October 2026) About Hitachi, Ltd. Through its Social ... Develop tools and frameworks to streamline the prompt engineering process, including prompt ...

Hitachi, Ltd.

AI and Data Engineer

Santa Clara, CA · On-site

$134.50K - $161.50K/yr

Temp-to-Perm Duration: 6 months+ (May 2026 - October 2026) About Hitachi, Ltd. Through its Social ... Develop tools and frameworks to streamline the prompt engineering process, including prompt ...

Bedrock Robotics

Hardware Engineer

San Francisco, CA · On-site

$145.50K - $192K/yr

Strong foundational knowledge in traditional HW engineering subjects such as electrical design ... High performance embedded compute, in particular Nvidia Jetson lineup * High and low speed ...

Aquent

Senior Software Engineer LLM Training

Campbell, CA · On-site +1

$100 - $300/hr

Temporary Salary: $100-300 Hourly Start Date: Mar 23, 2026 Our client, a pioneering leader at the ... Hypothesize on critical steps within the software engineering lifecycle, from prototyping and ...

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Temporary Nvidia Engineering information

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$57K

$137K

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How much do temporary nvidia engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for temporary nvidia engineering in the United States is $137,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Nvidia Engineer, and why are they important?

To thrive as a Temporary Nvidia Engineer, you need a solid background in computer engineering, programming (C/C++ or Python), and experience with hardware or software development, often supported by a relevant degree. Familiarity with Nvidia’s development tools such as CUDA, GPU architecture, and version control systems is typically required. Strong problem-solving skills, adaptability, and effective communication help you quickly integrate with teams and adapt to project needs. These skills ensure high productivity and quality contributions in a fast-paced, innovation-driven environment where contract roles demand rapid impact.

What types of projects do Temporary Nvidia Engineering roles typically work on, and how do they collaborate with full-time teams?

Temporary Nvidia Engineering roles often focus on short-term, high-priority projects such as software development, hardware validation, or performance optimization. Contractors are usually integrated into existing teams and work closely with full-time engineers, project managers, and cross-functional partners to meet project milestones. While the assignments are time-bound, temporary engineers are expected to contribute actively during team meetings, participate in code reviews, and share updates regularly. This collaborative environment helps ensure project continuity and gives temporary staff valuable exposure to Nvidia’s cutting-edge technologies and workflows.

What are Temporary Nvidia Engineering jobs?

Temporary Nvidia Engineering jobs are short-term positions at Nvidia, typically filled to meet project demands, cover employee absences, or provide specialized skills for a limited period. These roles can range from hardware and software engineering to research and development positions. Temporary engineers work on innovative projects involving graphics processing, AI, and other cutting-edge technologies. Although these jobs are not permanent, they provide valuable experience and networking opportunities within a leading tech company like Nvidia.

What is the difference between Temporary Nvidia Engineering vs Temporary Nvidia Data Scientist?

AspectTemporary Nvidia EngineeringTemporary Nvidia Data Scientist
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentHardware development, software engineering, system testingData analysis, model development, statistical analysis
Employer & Industry UsageUsed in hardware and software product development within NvidiaUsed in AI, machine learning projects, and data-driven solutions at Nvidia

Temporary Nvidia Engineering focuses on hardware and software development, requiring engineering credentials and working in product development environments. In contrast, Temporary Nvidia Data Scientist emphasizes data analysis and modeling skills, working primarily on AI and machine learning projects. Both roles are essential in Nvidia's innovation pipeline but differ in their technical focus and daily tasks.

More about Temporary Nvidia Engineering jobs
What cities are hiring for Temporary Nvidia Engineering jobs? Cities with the most Temporary Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
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Temporary Nvidia Engineering jobs near you
Infographic showing various Temporary Nvidia Engineering job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $137,006 per year, or $65.9 per hour.
Hardware Validation Engineer

Hardware Validation Engineer

Nvidia

Santa Clara, CA • Hybrid

$145K - $191.40K/yr

Full-time

Posted 17 days ago

Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

NVIDIA's System Co-Design Group (SCG) team is seeking a versatile engineer to be part of a Silicon Hardware team. You will partner with silicon validation teams to capture, interpret, and refine bringup platform requirements, then drive alignment and reviews with the platform design team. In this role, you will shape validation platforms that support product lines spanning artificial intelligence, consumer graphics, selfdriving cars, and other cuttingedge technologies.

What you'll be doing:

  • Create and own methodology for deriving baseline requirements for validation platforms.

  • Collaborate with crossfunctional silicon validation teams to understand justification, tradeoffs, and design constraints, and reflect them in platform requirements.

  • Ensure the bringup platform is fully compatible with required thermal solutions, powerdelivery configurations, and platform peripherals.

  • Maintain the Engineering Requirements Document (ERD) to capture and track validation platform requirements across datacenter, client, automotive, and embedded programs.

  • Primary interface between silicon validation teams and platform design teams, driving alignment on requirements and final implementation.

What we need to see:

  • BS or MS degree in EE/CE or equivalent experience

  • Effective in a collaborative environment.

  • 8+ years working in silicon bringup, platform validation, or platform design.

  • Working experience in a few of the following areas:

    • HSIOs like PCIE or chip-to-chip interconnects including understanding of process/temp/voltage sensitivity on BER.

    • Broad exposure to a few silicon validation and bringup stages - eg: system integration testing, speed char, noise char, feature tuning, electrical validation, thermal / power controller tuning, PVT testing, HTOL, SLT.

    • PCB design and/or layout

    • Experience with large scale Data Center topologies across hosts, switches, retimers and end points.

    • Strong EE fundamentals, knowledgeable in computer architecture, high speed interfaces, timing analysis, process variations, statistical error rates and power analysis.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We welcome you to join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 1, 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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