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Temporary Electrical Engineer Nvidia Jobs (NOW HIRING)

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 has continuously reinvented itself over three decades. Our invention of the GPU in 1999 ... Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or ...

DFT Methodology Engineer

Santa Clara, CA · On-site

$145K - $191K/yr

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Master's degree (or equivalent experience) in Electrical Engineering or related field with proven ...

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 has continuously reinvented itself over three decades. Our invention of the GPU in 1999 ... Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or ...

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 best-in-class CPU Design Engineers to design the world's leading CPUs. This ... Whatweneedtosee: 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 ... Whatweneedtosee: 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 ASIC Verification Engineers to verify the world's leading GPUs ... A Bachelor's Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or ...

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 Science ...

About the Role Join CBRE as a Senior Building Engineer supporting the headquarters of Nvidia in Santa Clara , where your expertise in HVAC, electrical, plumbing, and mechanical systems keeps our ...

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Temporary Electrical Engineer Nvidia information

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$50.5K

$111.1K

$168K

How much do temporary electrical engineer nvidia jobs pay per year?

As of Sep 9, 2026, the average yearly pay for temporary 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.

What is the difference between Temporary Electrical Engineer Nvidia vs Temporary Electrical Technician Nvidia?

AspectTemporary Electrical Engineer NvidiaTemporary Electrical Technician Nvidia
CredentialsBachelor's degree in Electrical Engineering or related fieldAssociate's degree or technical certification in electrical technology
Work EnvironmentDesign, testing, and troubleshooting electrical systems in R&D or manufacturingInstallation, maintenance, and repair of electrical equipment on production lines
Employer & Industry UsageUsed in engineering projects, product development, and system designCommonly employed in maintenance, repair, and operational support roles

Temporary Electrical Engineer Nvidia typically focuses on designing and testing electrical systems, requiring a degree in engineering. In contrast, Temporary Electrical Technician Nvidia handles hands-on installation and maintenance tasks, often with technical certifications. Both roles support Nvidia's operations but differ in responsibilities and qualifications.

What cities are hiring for Temporary Electrical Engineer Nvidia jobs?

Cities with the most Temporary Electrical Engineer Nvidia job openings:

What are the most commonly searched types of Electrical Engineer Nvidia jobs?

The most popular types of Electrical Engineer Nvidia jobs are:

What states have the most Temporary Electrical Engineer Nvidia jobs?

States with the most job openings for Temporary Electrical Engineer Nvidia jobs include:

Infographic showing various Temporary Electrical Engineer Nvidia job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. 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.

Senior High-Performance LLM Training Engineer

Santa Clara, CA • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are now looking for a Senior High-Performance LLM Training Engineer!

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.

What you will be doing:

  • Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.

  • Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.

  • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.

  • Build and support NVIDIA submissions to the MLPerf Training benchmark suite.

  • Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.

  • Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

  • PhD in Computer Science, Electrical Engineering or Computer Engineering and 5+ years; or MS (or equivalent experience) and 8+ years of meaningful work experience.

  • Strong background in deep learning and neural networks, in particular training.

  • A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.

  • Proven experience analyzing and tuning application performance & processor and system-level performance modelling.

  • Programming skills in C++, Python, and CUDA.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.

Widely considered to be one of tech's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Additionally, this opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. If you're excited to work across the full hardware & software stack-from GPU architecture to application code-to achieve optimal performance, 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 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 April 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