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Temporary Compiler Software Engineer Jobs in Oregon

Senior DL Compiler Engineer -CUDA Tile

OR · On-site +1

$122K - $161K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ... The scope of these efforts includes defining public APIs, crafting and implementing compiler and ...

Senior DL Compiler Engineer -CUDA Tile

OR · On-site +1

$122K - $161K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ... The scope of these efforts includes defining public APIs, crafting and implementing compiler and ...

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center ... You will design and implement compiler transformations, develop MLIR-based dialects and lowering ...

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center ... In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA ...

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the ... compiler fundamentals Ability to quickly develop expertise in new domains and products, and ...

Senior LLVM Compiler Engineer

OR · On-site +1

$104K - $143K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... software requirements into upstreamviable compiler solutions Help shape NVIDIA's longterm ...

We're looking for a Senior Performance Compiler Engineer to join our team and work on the open ... Demonstrated strong C++ programming and software design skills, with an emphasis on performance ...

Senior Fortran Compiler Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building ... software designs and implementation strategies with peers Partner with application teams to ...

Showing results 21-40

Temporary Compiler Software Engineer information

What is the difference between Temporary Compiler Software Engineer vs Temporary Software Developer?

AspectTemporary Compiler Software EngineerTemporary Software Developer
Required CredentialsBachelor's in Computer Science or related field; knowledge of compiler designBachelor's in Computer Science or related field; programming skills
Work EnvironmentR&D teams, specialized in language processingVarious industries, application development
Employer & Industry UsageTech companies, compiler and language tool firmsSoftware firms, startups, tech companies
Common Search & ComparisonOften compared for technical skills and project scopeBroader role, general programming tasks

The main difference is that a Temporary Compiler Software Engineer specializes in compiler design and language processing, requiring specific knowledge of compiler construction. In contrast, a Temporary Software Developer has a broader focus on application development across various domains. Both roles often require similar educational backgrounds but differ in technical expertise and work focus.

Infographic showing various Temporary Compiler Software Engineer job openings in Oregon as of June 2026, with employment types broken down into 62% Full Time, 28% Part Time, 9% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Senior DL Compiler Engineer -CUDA Tile

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$122K - $161K/yr

Full-time

Re-posted 2 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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 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.

Applications for this job will be accepted at least until September 6, 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. #deeplearning.


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