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Compiler Software Engineer Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/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

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... and software requirements into upstream‑viable compiler solutions • Help shape NVIDIA ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) • 6+ ...

Nvidia

Senior LLVM Compiler Engineer

Redmond, WA

$117K - $160K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Partner with architecture, performance, and product teams to translate NVIDIA hardware and software ...

Purple Hires

Software Design Engineer

Redmond, WA · On-site

Software Design Engineer 4 Duration : 8 months Location : Redmond WA Name: Top 3 Must-Have HARD ... LLVM / Compiler Engineering - 5+ years C/C++ Systems Programming - 7+ years Security Fuzzing ...

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Showing results 21-40

All JobsCompiler Software Engineer JobsCompiler Software Engineer Jobs in Seattle, WA

Compiler Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do compiler software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for compiler software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What is a compiler software engineer?

A Compiler Software Engineer is a specialized software developer who designs, implements, and maintains compilers. Compilers are programs that translate source code written in one programming language into another, typically from high-level languages like C++ or Python into machine code that a computer can execute. Compiler engineers work on optimizing code performance, ensuring correctness, and supporting new programming language features. They often have strong backgrounds in computer science, algorithms, and systems programming.

What are some common challenges faced by compiler software engineers when optimizing code for different hardware architectures?

Compiler Software Engineers often encounter challenges when adapting and optimizing code for various hardware architectures, such as balancing performance improvements with maintaining code portability and correctness. Each architecture may have unique instruction sets, memory hierarchies, and parallelization capabilities, requiring careful tuning of compiler optimizations. Additionally, collaboration with hardware engineers and staying updated on evolving processor technologies are essential to ensure efficient code generation. This aspect of the role provides continuous learning opportunities and keeps the work both dynamic and technically rewarding.

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

To thrive as a Compiler Software Engineer, you need a strong background in computer science, programming languages (such as C/C++), and compiler theory, usually supported by a relevant degree. Familiarity with tools like LLVM, GCC, and debuggers, as well as experience with code optimization and static analysis, is typically required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding engineers apart. These skills ensure robust, efficient compiler development and seamless collaboration with development teams.

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

AspectCompiler Software EngineerSoftware Developer
Required CredentialsBachelor's or higher in Computer Science, specialized knowledge in compilersBachelor's or higher in Computer Science or related field
Work EnvironmentResearch labs, tech companies, compiler development teamsVaried environments including startups, corporations, freelance projects
Industry UsagePrimarily in compiler design, programming language development, systems softwareWeb, mobile, enterprise applications, software solutions

Compiler Software Engineers focus on designing and optimizing compilers and language tools, often working in specialized teams. Software Developers create a wide range of applications across industries. While both roles require programming skills, Compiler Software Engineers have a niche expertise in language translation and optimization, making their work more specialized.

What are the most commonly searched types of Compiler Software Engineer jobs in Seattle, WA? The most popular types of Compiler Software Engineer jobs in Seattle, WA are:
What are popular job titles related to Compiler Software Engineer jobs in Seattle, WA? For Compiler Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Compiler Software Engineer jobs in Seattle, WA look for? The top searched job categories for Compiler Software Engineer jobs in Seattle, WA are:
Compiler Software Engineer jobs near you
Infographic showing various Compiler Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $167,886 per year, or $80.7 per hour.

Senior Deep Learning Compiler Engineer

Nvidia

Redmond, WA

$117K - $160K/yr

Full-time

Re-posted 13 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 243 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 Deep Learning Compiler Engineer. 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 breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Excellent C/C++ and Python 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:

  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.

  • Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.

  • GPU kernel generation with high performance and fast build time.

  • A track record of success in mentoring junior engineers and interns is a bonus.

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 May 4, 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.#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

Year founded

1993

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