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Cuda Gpu Jobs (NOW HIRING)

Nvidia

OR · On-site

$122K - $161K/yr

... CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow's breakthroughs! What you'll be ...

Roblox

Principal Software Engineer, GPU Compute

San Mateo, CA · On-site

$153K - $206K/yr

Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal ...

ConfigUSA

CUDA Programmer

Waukesha, WI · On-site

Profile and tune GPU applications for performance, memory efficiency, and scalability. * Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA ...

PRAGMATIKE

CUDA Kernel Engineer

Atlanta, GA · Remote

Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ... Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory ...

PRAGMATIKE

CUDA Kernel Engineer

New York, NY · Remote

Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ... Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory ...

PRAGMATIKE

CUDA Kernel Engineer

Cambridge, MA · Remote

Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ... Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory ...

PRAGMATIKE

CUDA Kernel Engineer

Chicago, IL · Remote

Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ... Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory ...

PRAGMATIKE

CUDA Kernel Engineer

Austin, TX · Remote

Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ... Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory ...

PRAGMATIKE

CUDA Kernel Engineer

San Francisco, CA · Remote

Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ... Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory ...

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Cuda Gpu information

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How much do cuda gpu jobs pay per year?

As of Jun 11, 2026, the average yearly pay for cuda gpu in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing can command higher salaries, especially in tech hubs or companies focusing on AI and high-performance computing.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, machine learning, or specialized GPU development, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

What is the difference between Cuda Gpu vs Data Scientist?

AspectCuda GpuData Scientist
Required CredentialsKnowledge of GPU programming, CUDA toolkit, C/C++Statistics, programming (Python, R), data analysis
Work EnvironmentTech companies, research labs, hardware developmentBusiness, tech, finance, healthcare sectors
Industry UsageHigh-performance computing, AI, machine learningData analysis, predictive modeling, data visualization

While Cuda Gpu specialists focus on GPU programming and hardware optimization, Data Scientists analyze data to extract insights. Both roles require technical skills but serve different purposes within technology and data-driven industries.

What jobs use CUDA?

Jobs that use CUDA typically include roles such as GPU programmer, machine learning engineer, data scientist, and high-performance computing specialist. These positions require knowledge of parallel programming, CUDA toolkit, and often involve developing or optimizing software for NVIDIA GPUs in fields like AI, scientific computing, and graphics processing.

Is CUDA an in demand skill?

CUDA is a highly sought-after skill for roles involving GPU programming, machine learning, and high-performance computing. Professionals with CUDA expertise are in demand across industries such as technology, research, and data science, often requiring knowledge of parallel computing and related tools like C++ or Python.
More about Cuda Gpu jobs
What cities are hiring for Cuda Gpu jobs? Cities with the most Cuda Gpu job openings:
What states have the most Cuda Gpu jobs? States with the most job openings for Cuda Gpu jobs include:
What job categories do people searching Cuda Gpu jobs look for? The top searched job categories for Cuda Gpu jobs are:
Cuda Gpu jobs near you
Infographic showing various Cuda Gpu job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.
Senior Systems Software Engineer, CUDA GPU Profiler

Senior Systems Software Engineer, CUDA GPU Profiler

Nvidia

OR • On-site

$122K - $161K/yr

Full-time

Posted 26 days ago

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and help develop groundbreaking performance tools for GPUs that cater to both newcomers and seasoned CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow's breakthroughs!

What you'll be doing:

  • Design and implement innovative features for our GPU performance profiling tools.

  • Collaborate and interact with other teams within NVIDIA, including the GPU HW team, the compiler team, and well as other developer tools teams.

  • Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.

What we need to see:

  • 8+ years proven experience in software engineering with a focus on performance tools.

  • B.S. EE/CS (or equivalent experience).

  • Strong programming skills in C++.

  • Existing knowledge of GPU hardware and/or motivated to learn to closely collaborate with HW teams for design, bringup, and productization of new profiling features.

Ways to stand out from the crowd:

  • Expertise in CUDA kernel programming and profiling.

  • Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.

  • Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.

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 May 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

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