ZipRecruiter

Log In

1

Cuda Engineer Salary Jobs in Bothell, WA (NOW HIRING)

Nvidia

Senior HPC Cluster Engineer

Redmond, WA · On-site

$117K - $160K/yr

Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking. * Experience ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Redmond, WA · On-site

$137K - $180K/yr

Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... Base Salary Range There are three major components to compensation for this position: salary ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... The salary range listed in this posting is representative of the range of levels Zoox is ...

Socket.dev

AI Software Engineer

Seattle, WA · On-site

$151.80 - $332.20/hr

Write and profile CUDA kernels and custom ops where framework-level optimisation is insufficient ... Background in compiler-level optimisation (XLA, Triton, or similar) Minimum Salary Range or On ...

previous pagenext page

Showing results 21-40

All JobsCuda Engineer Salary JobsCuda Engineer Salary Jobs in Bothell, WA

Cuda Engineer Salary information

See Bothell, WA salary details

$40.8K

$119.9K

$153.7K

How much do cuda engineer salary jobs pay per year?

As of Aug 13, 2026, the average yearly pay for cuda engineer salary in Bothell, WA is $119,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $152,000.00 per year, depending on experience, location, and employer.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly sought after by technology companies and research institutions. The role often requires strong programming skills and knowledge of GPU architectures.

What is the difference between Cuda Engineer Salary vs GPU Developer Salary?

AspectCuda Engineer SalaryGPU Developer Salary
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; knowledge of CUDA, parallel programmingBachelor's or higher in Computer Science, Software Engineering, or related fields; experience with GPU programming
Work EnvironmentResearch labs, tech companies, AI firms, hardware manufacturersSoftware development companies, gaming industry, AI and machine learning firms
Industry UsagePrimarily in high-performance computing, AI, and scientific researchIn gaming, visualization, AI, and software optimization

Both roles require expertise in GPU programming and similar educational backgrounds. Cuda Engineers focus more on developing and optimizing CUDA-based applications, while GPU Developers work broadly on GPU-accelerated software. Salary differences depend on experience, location, and industry demand, but both roles are highly valued in tech sectors leveraging GPU technology.

What is the average salary of a CUDA engineer?

The average salary of a CUDA Engineer in the United States typically ranges from $110,000 to $160,000 per year, depending on experience, location, and industry. CUDA Engineers with specialized skills in GPU programming and parallel computing are often in high demand, particularly in sectors such as artificial intelligence, high-performance computing, and graphics. Salaries may be higher in tech hubs like Silicon Valley or for engineers with advanced degrees and significant experience.

What does a CUDA engineer do?

A CUDA engineer develops software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing high-performance computing tasks such as scientific simulations, machine learning, and graphics rendering. They typically have skills in C/C++, GPU architecture, and debugging tools, working in environments that require knowledge of parallel algorithms and hardware acceleration.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need strong programming expertise in C/C++, parallel computing concepts, and a solid understanding of GPU architecture, typically supported by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU profiling tools, and parallel computing frameworks is essential, and certifications in CUDA development can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this field. These skills and qualities are crucial for developing efficient, high-performance applications and collaborating on complex technical projects.

What are some common challenges faced by CUDA engineers when collaborating with cross-functional teams?

CUDA engineers often work closely with software developers, data scientists, and hardware engineers to optimize code for GPU acceleration. A common challenge is effectively communicating complex GPU programming concepts to team members who may not have a background in parallel computing. Additionally, integrating CUDA code into broader projects can require careful coordination to ensure compatibility and performance across different platforms. Overcoming these challenges often involves clear documentation, regular team meetings, and a willingness to provide technical guidance to colleagues.
What job categories do people searching Cuda Engineer Salary jobs in Bothell, WA look for? The top searched job categories for Cuda Engineer Salary jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Cuda Engineer Salary jobs? Cities near Bothell, WA with the most Cuda Engineer Salary job openings:
Cuda Engineer Salary jobs near you

Senior Compiler Engineer - Backend GPU

Nvidia

Redmond, WA • On-site

Full-time

Re-posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

What you will 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 compiler 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

  • 4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation

  • Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)

  • 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 with a focus on 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

  • Experience developing compiler optimizations and code generation for GPUs

  • Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

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

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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.

Applications for this job will be accepted at least until March 3, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All Nvidia Jobs

Apply