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Nvidia Hardware Jobs (NOW HIRING)

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as ...

Nvidia

Solutions Architect, AI and ML

Santa Clara, CA · On-site

$74 - $97.50/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as ...

Nvidia

Solutions Architect, AI and ML

Santa Clara, CA

$74 - $97.50/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as ...

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 ...

Nvidia

OR · On-site

At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as ...

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All JobsNvidia Hardware Jobs

Nvidia Hardware information

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$51K

$146.2K

$196.5K

How much do nvidia hardware jobs pay per year?

As of Jun 6, 2026, the average yearly pay for nvidia hardware 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 Nvidia hardware engineers?

Nvidia hardware engineers are professionals who design, develop, and test hardware components, such as graphics processing units (GPUs), system-on-chip (SoC) architectures, and related technologies used in computers, gaming consoles, and data centers. They work on creating high-performance, energy-efficient chips that power advanced graphics, artificial intelligence, and high-performance computing applications. These engineers collaborate with software teams to ensure optimal hardware-software integration and often contribute to research and development of next-generation hardware solutions.

What are some common challenges faced when working in Nvidia hardware roles, and how can candidates best prepare for them?

Professionals working in Nvidia hardware roles often encounter challenges such as keeping pace with rapidly advancing GPU technologies, troubleshooting complex hardware-software interactions, and collaborating with cross-functional teams on large-scale projects. To prepare, candidates should stay current with the latest developments in GPU architectures, hone their problem-solving skills, and gain experience in debugging and performance optimization. Strong communication and teamwork abilities are also essential, as these roles frequently require close coordination with software engineers, designers, and other stakeholders.

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

To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, computer architecture, and circuit design, often supported by a relevant engineering degree. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools, and experience with PCB layout and validation are typically required. Strong problem-solving abilities, teamwork, and attention to detail are valuable soft skills for success in this role. These competencies are crucial for designing, testing, and optimizing high-performance hardware that meets Nvidia's rigorous standards.

What is the difference between Nvidia Hardware vs Nvidia Software Engineer?

AspectNvidia HardwareNvidia Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; experience with hardware designBachelor's or higher in Computer Science, Software Engineering, or related; programming skills
Work EnvironmentDesign, test, and develop hardware components in labs or manufacturing settingsDevelop, test, and optimize software applications and drivers in office or remote settings
Industry UsageHardware manufacturing, electronics, and tech developmentSoftware development, AI, gaming, and driver support

Nvidia Hardware roles focus on designing and testing physical components like GPUs, while Nvidia Software Engineers develop software, drivers, and applications to optimize hardware performance. Both roles are essential in the tech industry but differ in skills and daily tasks.

What cities are hiring for Nvidia Hardware jobs? Cities with the most Nvidia Hardware job openings:
What states have the most Nvidia Hardware jobs? States with the most job openings for Nvidia Hardware jobs include:
Nvidia Hardware jobs near you
Infographic showing various Nvidia Hardware job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, and 60% Part Time. 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 System Software Engineer, Performance - CUDA Driver

Senior System Software Engineer, Performance - CUDA Driver

Nvidia

Santa Clara, CA • Hybrid

$143K - $189K/yr

Full-time

Posted 16 days ago

Job description

We are hiring senior engineers to work on the CUDA driver and runtime, core components of our platform for accelerating general purpose computation on the GPU. Our team analyzes performance of applications, investigates bottlenecks in software or hardware and delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.

CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system.

What you'll be doing:

As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will investigate complex performance problems and deliver robust solutions that accelerate applications.

  • Evangelize, architect, and implement new features

  • Oversee and drive development efforts across multiple teams

  • Analyze full stack performance ranging from application level through libraries, system software, kernel software and hardware

  • Define forward-looking improvements to the CUDA APIs and programming model

  • Create novel system software optimizations

  • Write effective, maintainable, and well-tested code

  • Develop code for multiple operating systems

What we need to see:

  • BS or MS degree in Computer Science, Electrical Engineering (or equivalent experience)

  • 7+ years of related development experience

  • Strong C programming skills

  • Experience working with large codebases

  • Track record of debugging performance problems in complex environments with software and hardware components

  • Experience with operating system interfaces for threads, process control, and virtual memory

  • Experience writing and debugging multithreaded programs

  • Deep understanding of technology and passionate about what you do

  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment. Good written communication.

Ways to stand out from the crowd:

  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO

  • Experience with performance tuning of device drivers or low level system software

  • Experience with performance optimizations across a variety of CPU architectures - like x86, POWER and ARM

  • Knowledge of memory coherence and consistency models

  • Experience with Windows, Linux, or macOS driver development

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, and are interested in working on novel problems in a collaborative environment, 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 June 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

Year founded

1993

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