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Nvidia Hardware Engineer Jobs (NOW HIRING)

NVIDIA is building the world's most groundbreaking and state of the art compute platforms for the ... We are looking for a Senior Hardware Validation Engineer to lead validation activities in the ...

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... NVIDIA hardware and software requirements into upstream‑viable compiler solutions • Help shape NVIDIA's long‑term open‑source LLVM strategy, balancing ecosystem health with NVIDIA's platform ...

Senior Hardware Validation Engineer

Santa Clara, CA · On-site

$129K - $173K/yr

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In ...

Senior LLVM Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... NVIDIA hardware and software requirements into upstream‑viable compiler solutions • Help shape NVIDIA's long‑term open‑source LLVM strategy, balancing ecosystem health with NVIDIA's platform ...

Senior ATE Hardware Engineer

Santa Clara, CA · Hybrid

$129K - $173K/yr

NVIDIA has continuously reinvented itself for three decades. Our invention of the GPU in 1999 ... Work closely with the test engineers and vendors to resolve component and board fabrication and ...

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... NVIDIA hardware and software requirements into upstream‑viable compiler solutions • Help shape NVIDIA's long‑term open‑source LLVM strategy, balancing ecosystem health with NVIDIA's platform ...

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Nvidia Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do nvidia hardware engineer jobs pay per year?

As of Jun 6, 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.

More about Nvidia Hardware Engineer jobs
What cities are hiring for Nvidia Hardware Engineer jobs? Cities with the most Nvidia Hardware Engineer job openings:
What are the most commonly searched types of Nvidia Hardware Engineer jobs? The most popular types of Nvidia Hardware Engineer jobs are:
What states have the most Nvidia Hardware Engineer jobs? States with the most job openings for Nvidia Hardware Engineer jobs include:
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 Solutions Architect, NVIDIA Cloud Partners

Senior Solutions Architect, NVIDIA Cloud Partners

Nvidia

Santa Clara, CA

Full-time

Posted 5 days ago


Job description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning (DL) software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What you'll be doing:

  • Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions.

  • Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.

  • Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through whole customer lifecycle.

  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

  • Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.

  • Prepare and deliver technical content to customers including presentations, workshops, etc.

  • Analyze and develop joint solutions for customer performance and scaling issues.

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle.

  • 8+ years of Solutions Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.

  • Experience crafting and deploying large-scale cluster environments.

  • Practical expertise in data center design, development and execution for AI and HPC.

  • Efficient time management and capable of balancing multiple tasks. Ability to communicate ideas clearly through documents, presentations, etc.

Ways to stand out from the crowd:

  • Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.

  • Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager, etc.

  • Familiarity with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.

  • Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 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