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Cuda Gpu Jobs (NOW HIRING)

Typesafe AI

GPU Kernel Engineer

San Francisco, CA · On-site

$180K - $280K/yr

About the role We're looking for a GPU kernel engineer with deep, low-level CUDA expertise to make our training and inference faster and more efficient. You'll write and optimize custom kernels ...

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 ...

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Cuda Gpu information

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$111.5K

$206K

How much do cuda gpu jobs pay per year?

As of Jul 29, 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.

Are CUDA programmers in demand?

CUDA programmers are in high demand in fields such as artificial intelligence, data science, and high-performance computing due to the widespread use of NVIDIA GPUs for parallel processing. Skills in CUDA programming, combined with knowledge of C++ and GPU architecture, can lead to strong job prospects in technology and research sectors.

What engineer makes $500,000 a year?

Highly experienced software engineers specializing in GPU programming, such as those working with CUDA for high-performance computing, can earn salaries approaching or exceeding $500,000 annually, especially in senior or lead roles at major tech companies or in specialized industries like AI or data centers. These roles typically require advanced skills, extensive experience, and often involve leadership or highly technical responsibilities.

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 include roles in software development, data science, machine learning engineering, and high-performance computing. These positions often require knowledge of parallel programming, GPU acceleration, and tools like NVIDIA's CUDA toolkit to optimize computational tasks and process large datasets efficiently.
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Cuda Gpu jobs near you
Infographic showing various Cuda Gpu job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, 2% Temporary, and 1% Contract. Highlights an 88% Physical, 5% 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

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Senior Systems Software Engineer to develop innovative performance profiling tools for GPUs, collaborating with various teams to enhance GPU technology for future breakthroughs.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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