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Nvidia Hardware Engineer Jobs (NOW HIRING)

Nebius

Field Engineer (Hardware Delivery)

Birmingham, AL · On-site

$125K - $180K/yr

You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ... You will collaborate closely with hardware engineering, networking, and infrastructure teams to ...

Nvidia

OR

$104K - $143K/yr

We ensure that key deep learning frameworks run optimally on NVIDIA hardware, enabling developers and researchers to push the boundaries of what's possible in AI. What you'll be doing: Join a team of ...

Nebius

Field Engineer (Hardware Delivery)

Independence, MO · On-site

$125K - $180K/yr

You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ... You will collaborate closely with hardware engineering, networking, and infrastructure teams to ...

Nvidia

DFT Engineer - New College Grad

Santa Clara, CA

$145K - $191K/yr

We are now looking for a highly motivated DFT Engineer to join this multifaceted and innovative hardware team at NVIDIA. Our Design-for-Test Engineering team works on groundbreaking innovations ...

Nvidia

OR

Within NVIDIA's Hardware Infrastructure organization, we support a broad portfolio of engineering programs spanning simulation, performance modeling, validation tooling, and more. As a TPM on this ...

Beyond SOF

Nvidia Engineer

Washington, DC · On-site

The Nvidia Engineer is responsible for developing and optimizing software and hardware solutions using Nvidia technologies. Main Responsibilities and Duties: Develop and optimize software and ...

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All JobsNvidia Hardware Engineer Jobs

Nvidia Hardware Engineer information

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$51K

$146.2K

$196.5K

How much do nvidia hardware engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nvidia Hardware Engineer position, and why are they important?

To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, digital and analog circuit design, and familiarity with ASIC/FPGA development, typically demonstrated through a relevant degree and experience. Expertise with industry-standard tools like Cadence, Synopsys, and scripting languages, as well as knowledge of hardware validation methods, is frequently required. Strong problem-solving abilities, teamwork, and effective communication help engineers navigate complex projects and work across multidisciplinary groups. These skills and qualities are critical for designing innovative, high-performance hardware components and ensuring their successful integration into Nvidia’s advanced technologies.

What does a typical day look like for an Nvidia Hardware Engineer, and how do they collaborate with other teams?

A typical day for an Nvidia Hardware Engineer involves designing, simulating, and testing hardware components, often working closely with software, verification, and product teams to ensure designs meet performance and reliability standards. The role includes reviewing schematics, running validation tests, analyzing data, and addressing technical challenges as they arise. Engineers regularly participate in cross-functional meetings to align on project goals, share updates, and troubleshoot issues collaboratively. This collaborative environment ensures that new Nvidia products are developed efficiently and meet the industry’s demanding standards, providing engineers with significant opportunities for learning and professional growth.

What is a Nvidia Hardware Engineer job?

An Nvidia Hardware Engineer is responsible for designing, developing, and optimizing cutting-edge hardware components such as GPUs, AI accelerators, and high-performance computing chips. They work on circuit design, system architecture, validation, and performance optimization to ensure Nvidia's products meet industry standards. These engineers collaborate with software teams to enhance hardware-software integration and improve efficiency. The role requires expertise in areas like VLSI design, FPGA/ASIC development, and power management. Strong problem-solving skills and a background in electrical or computer engineering are essential.

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Nvidia Hardware Engineer jobs near you
Infographic showing various Nvidia Hardware Engineer job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.
Senior Performance Engineer - Deep Learning

Senior Performance Engineer - Deep Learning

Nvidia

Santa Clara, CA

$122K - $168K/yr

Full-time

Posted 5 days ago

Job description

Our Deep Learning models performance engineering team at NVIDIA is hiring software engineers at all experience levels to build and optimize the libraries and tools that enable Deep Learning Researchers and Engineers to design, develop, and deploy efficient AI applications. We are an ambitious and diverse team that builds optimizations directly into mainstream open source Deep Learning frameworks - PyTorch and JAX, which boost the performance at all levels of NVIDIA's AI stack. Our team has a wide collaborative footprint, working not only with multiple teams across NVIDIA but also with the broader open-source community to deliver SOTA Deep Learning performance on the best AI platform in the world!

What you will be doing:

  • Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models.

  • Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc.

  • Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems.

  • Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf.

  • Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA's latest hardware and software innovations.

  • Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems.

What we need to see:

  • BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.

  • 3+ years of experience in C++ and Python programming.

  • Strong background, experience, or coursework in parallel systems programming, preferably on GPUs.

  • Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.

  • Proven experience in developing large software projects.

  • Excellent verbal and written communication skills.

Ways to stand out from the crowd:

  • Experience in PyTorch, JAX, or any other DL framework.

  • Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems.

  • Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER.

  • Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries.

  • Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 8, 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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