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

Nvidia

Senior Compiler Engineer - AI

Redmond, WA · On-site

$137K - $180K/yr

What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. * 8+ years of software engineering ...

Nvidia

Backend Compiler Engineer

Redmond, WA · On-site

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 ...

Nvidia

Senior GPU Compiler Development Engineer

Redmond, WA · On-site

$137K - $180K/yr

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX ... Good track record of developing, driving and delivering software products. Ways to stand out from ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK ... You: As a Sr Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

NVIDIA

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

Required : • BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. • 8+ years of software engineering and AI ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK ... You: As a Sr. Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA

$137K - $180K/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 ...

Nvidia

Senior Compiler Engineer - DL

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 DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$137K - $180K/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 ...

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 Software Engineer, CUTLASS Platform

Redmond, WA · On-site

$137K - $180K/yr

Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL ... Strong proficiency in C++ programming and software design, including debugging, performance ...

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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 Jul 22, 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, and why are they important?

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 July 2026, with employment types broken down into 22% Locum Tenens, 5% As Needed, 67% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $167,886 per year, or $80.7 per hour.
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Redmond, WA

$117K - $160K/yr

Full-time

Posted 26 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

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 looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.

What you will be doing:

In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:

  • Crafting and implementing compiler optimization techniques for deep learning network graphs.

  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.

  • Performance tuning and analysis.

  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.

  • Designing user facing features in JAX and related libraries and other general software engineering work.

  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:

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

  • 4+ 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 effort adopting clean software engineering and testing practices.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.

  • CUDA or OpenCL programming experience is desired but not required.

  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:

  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.

  • Extensive experience with CUDA or with GPUs in general.

  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

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 1, 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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