1

Professional Cuda Jobs in Bothell, WA (NOW HIRING)

Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA's invention of the GPU ... Our diverse team of talented, capable, and professional people are our greatest asset! If you're a ...

Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose ... Our diverse team of talented, capable, and professional people are our greatest asset! If you're a ...

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...

Senior Engineer - AI Agents and Systems

Redmond, WA · On-site

$117K - $160K/yr

Required : • 10+ years of relevant professional software engineering experience, with at least 3+ ... CUDA, TensorRT), and experience running local models on consumer-grade hardware. • Practical ...

What You Bring * 8+ years of professional software development experience. * Proven track record of ... Hands-on experience with inference at the edge using NPUs or GPUs - TensorRT, CUDA, ONNX Runtime ...

Basic Qualifications * 8+ years of professional software engineering experience building large ... LLVM, MLIR, Triton, CUDA, or ROCm is a plus. * Familiarity with GPUs, accelerators, hardware ...

Qualifications * 10+ years of professional software engineering experience, with at least 3-5 years ... CUDA/ROCm) is a strong plus. * Track record of delivering complex, high-impact systems end-to-end ...

Senior Engineer - AI Agents and Systems

Redmond, WA · On-site

$117K - $160K/yr

What We Need to See: * 10+ years of relevant professional software engineering experience, with at ... CUDA, TensorRT), and experience running local models on consumer-grade hardware. * Practical ...

next page

Showing results 1-20

Professional Cuda information

What is the difference between Professional Cuda vs Cuda Developer?

AspectProfessional CudaCuda Developer
Required CredentialsTypically requires a degree in Computer Science or related field, with certifications in CUDA programmingOften requires similar degrees and certifications, focusing on CUDA expertise
Work EnvironmentWorks in research labs, tech companies, or industries utilizing GPU computingWorks in software development teams, research, or hardware optimization projects
Industry UsageUsed across high-performance computing, AI, and scientific research sectorsCommonly employed in software development, gaming, and simulation industries

Both roles involve CUDA programming, but a Professional Cuda typically emphasizes advanced GPU computing skills in research or industry applications, while a Cuda Developer focuses on software development and optimization using CUDA technology. The roles often overlap, but the Professional Cuda may have a broader scope in high-performance computing projects.

What are the most commonly searched types of Cuda jobs in Bothell, WA? The most popular types of Cuda jobs in Bothell, WA are:
What are popular job titles related to Professional Cuda jobs in Bothell, WA? For Professional Cuda jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Professional Cuda jobs in Bothell, WA look for? The top searched job categories for Professional Cuda jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Professional Cuda jobs? Cities near Bothell, WA with the most Professional Cuda job openings:
Backend Compiler Engineer

Backend Compiler Engineer

Nvidia

Redmond, WA • On-site

Full-time

Posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies


Job description

We are searching for a Backend Compiler Engineer 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:

  • Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++

  • Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools

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

  • Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages

What we need to see:

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

  • 2+ years of compiler code generation experience

  • Excellent hands-on C++ programming skills

  • 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:

  • M.S./PhD. with significant compiler related project or thesis work preferred

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

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

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".

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 Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 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


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