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Gpu Compiler Engineer Jobs in Utah (NOW HIRING)

Gpu Compiler Engineer information

What are GPU Compiler Engineers?

GPU Compiler Engineers are specialized software engineers who design, develop, and optimize compilers that translate high-level programming code into machine code that runs efficiently on Graphics Processing Units (GPUs). Their work enables developers to harness the full power of GPUs for tasks such as graphics rendering, scientific computing, and machine learning. These engineers often work closely with hardware teams to ensure compatibility and performance, and they play a critical role in advancing GPU technology.

What are some common challenges faced by GPU Compiler Engineers in optimizing code for different hardware architectures?

GPU Compiler Engineers often encounter challenges when adapting and optimizing code for a wide variety of GPU architectures. Each hardware platform may have unique instruction sets, memory hierarchies, and performance characteristics, requiring tailored compiler optimizations. Balancing performance, portability, and correctness is an ongoing challenge, especially when supporting multiple vendors or generations of hardware. Close collaboration with hardware engineers and performance analysts is essential to ensure the compiler produces efficient code that leverages the strengths of each GPU architecture.

What is the difference between Gpu Compiler Engineer vs Gpu Software Engineer?

AspectGpu Compiler EngineerGpu Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler designBachelor's or Master's in Computer Science or related; strong programming skills
Work EnvironmentResearch and development teams focused on compiler optimization and hardware integrationSoftware development teams working on GPU applications, drivers, or SDKs
Industry UsagePrimarily in hardware and compiler companies, GPU manufacturers

The Gpu Compiler Engineer specializes in developing and optimizing compilers for GPU hardware, focusing on translating high-level code into efficient machine instructions. In contrast, the Gpu Software Engineer works on creating GPU-related software, such as drivers, SDKs, or applications. While both roles require strong programming skills and knowledge of GPU architecture, the compiler engineer emphasizes compiler design and optimization, whereas the software engineer focuses on software development and integration.

What are the key skills and qualifications needed to thrive as a GPU Compiler Engineer, and why are they important?

To thrive as a GPU Compiler Engineer, you need a strong background in computer science, with expertise in compiler design, parallel programming, and GPU architectures, typically supported by a relevant degree. Familiarity with tools and languages such as LLVM, CUDA, OpenCL, and performance profiling systems is essential. Analytical thinking, problem-solving ability, and effective collaboration are crucial soft skills for success in this role. These skills ensure the development of high-performance, reliable compiler solutions that optimize GPU-based applications and support innovation in computing.
What job categories do people searching Gpu Compiler Engineer jobs in Utah look for? The top searched job categories for Gpu Compiler Engineer jobs in Utah are:
What cities in Utah are hiring for Gpu Compiler Engineer jobs? Cities in Utah with the most Gpu Compiler Engineer job openings:
Infographic showing various Gpu Compiler Engineer job openings in Utah as of July 2026, with employment types broken down into 7% As Needed, 87% Full Time, 5% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Raytracing Compiler Engineer - Developer and Performance Technology

Raytracing Compiler Engineer - Developer and Performance Technology

Nvidia

Salt Lake City, UT

$135K/yr

Full-time

Posted 9 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 245 rated software companies


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.

We are looking for a Raytracing Compiler Engineer to join as a member of our international engineering team.

What you'll be doing:

  • Guide the design and implementation of a new LLVM-based backend JIT compiler targeting NVIDIA GPUs.

  • Design and develop new compiler passes and optimizations required to meet the high-performance and low compilation time requirements of the compiler.

  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions.

  • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compilers and tools.

  • Get a chance to influence and work on new GPU architectures.

What we need to see:

  • B.S. or higher degree in Computer Science/Engineering or equivalent experience.

  • 12+ years of compiler development experience, including 3+ years of experience in LLVM with a focus on code generation.

  • Expertise in LLVM code generation, including instruction scheduling, software pipelining, register allocation, and LLVM IR.

  • Proficient in compiler design and in performance analysis tools.

  • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks.

  • Strong background in software engineering principles crafting robust and maintainable solutions to challenging problems.

  • Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:

  • Masters or PhD preferred, with 5+ years of relevant experience.

  • Developing compiler optimizations and code generation for GPUs!

  • Developing CUDA, DirectX, OpenGL/Vulkan, OptiX applications.

  • You should have strong interpersonal skills and be capable of leading and influencing others in the department.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 16, 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.

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