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Cuda Programming Jobs in Utah (NOW HIRING)

Senior Compiler Engineer

Santa Clara, UT ยท On-site

$93K - $128K/yr

Solid understanding of parallel programming models, GPU architectures, and CUDA programming. * Strong software design skills, including debugging, profiling, and benchmarking compilers and GPU ...

Cloud Engineer

Hill Air Force Base, UT ยท On-site

$51.25 - $68.50/hr

Cloud Engineer Location: Hill Air Force Base, UT. Clearance Required: Secret (Top Secret Preferred). Employment Type: Full-Time. About the Role The JAAW Group LLC, a Service-Disabled Veteran-Owned ...

Cloud Engineer

Hill Air Force Base, UT ยท On-site

$51.25 - $68.50/hr

Cloud Engineer Location: Hill Air Force Base, UT. Clearance Required: Secret (Top Secret Preferred). Employment Type: Full-Time. About the Role The JAAW Group LLC, a Service-Disabled Veteran-Owned ...

Cloud Engineer

UT ยท On-site

$51.25 - $68.50/hr

Cloud Engineer Location: Hill Air Force Base, UT. Clearance Required: Secret (Top Secret Prefered ... Experience with NVIDIA GPUs, CUDA/cuDNN, or GPU-accelerated workloads. * Exposure to AI/ML ...

FPGA FPGA & DSP Design Engineer

Murray, UT ยท On-site

$115K - $159K/yr

... CUDA) processing technologies. The successful candidate will be degree qualified (or equivalent ... Degree in Electronics Engineering, Mathematics, Physics, Computer Engineering or a related ...

Post Doc Res Assoc

Salt Lake City, UT ยท On-site

$63K - $73K/yr

... programming abstractions to an adaptive mesh refinement computation. Salary Range: $63K - $73K ... CUDA and supporting one-sided communication for scalability. The target architecture is a ...

Cuda Programming information

See Utah salary details

$25

$49

$74

How much do cuda programming jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for cuda programming in Utah is $49.48, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $57.79 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What are popular job titles related to Cuda Programming jobs in Utah?

For Cuda Programming jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Cuda Programming jobs in Utah look for?

The top searched job categories for Cuda Programming jobs in Utah are:

What cities in Utah are hiring for Cuda Programming jobs?

Cities in Utah with the most Cuda Programming job openings:

Infographic showing various Cuda Programming job openings in Utah as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $102,927 per year, or $49.5 per hour.

Senior DL Compiler Engineer -CUDA Tile

Santa Clara, UT โ€ข On-site

Socket.dev
Network Securityย โ€ขย 1 - 10 employees

$109K - $144K/yr

Other

Posted 7 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Itโ€™s a unique legacy of innovation thatโ€™s fueled by great technologyโ€”and amazing people. Today, weโ€™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 whatโ€™s never been done before takes vision, innovation, and the worldโ€™s best talent. As an NVIDIAN, youโ€™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.

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community.

What you'll be doing:

In this role, you will be working on CUDA Tile, a new tile-based programming model for our GPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA (https://developer.nvidia.com/cuda/tile). You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work.

What we need to see:
  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience)
  • 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design.
  • Ability to work independently, define project goals and scope, and lead your own development effort.
  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd:
  • Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.
  • Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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.

You will also be eligible for equity and benefits.

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.#deeplearning

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