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Junior Machine Learning Compiler Engineer Jobs in Burien, WA

NVIDIA

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA is a leading technology company known for its innovative contributions in fields such as Artificial Intelligence and Deep Learning. They are seeking a Senior LLVM Compiler Engineer to join ...

Nvidia

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With ...

Nvidia

Senior Compiler Engineer - Rust GPU

Seattle, WA · On-site

$139K - $183K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... CUDA PTX and machine code. * Build compiler IRs and Optimizers: Work with modern compiler ...

Amazon

Senior Applied Scientist, Annapurna ML

Seattle, WA

$104K - $142K/yr

... in compiler technology and deep-learning systems software. Strong experience in programming ... A background in machine learning and AI accelerators is preferred but not required. A day in the ...

Targeted Talent

Compiler Tech Lead

Seattle, WA

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future ...

Amazon

Senior Applied Scientist, Annapurna ML

Seattle, WA · On-site

$104K - $142K/yr

... in compiler technology and deep-learning systems software. Strong experience in programming ... A background in machine learning and AI accelerators is preferred but not required. A day in the ...

PitchBook Data

Machine Learning Engineer

Seattle, WA

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... Provide situational guidance to junior engineers and contribute to team best practices * Build and ...

2T Consulting

Machine Learning Engineer

Seattle, WA

Develop platform-level tools for prompt engineering, automated evaluation, prompt optimization, and experimentation. * Deploy, monitor, and maintain machine learning and generative AI models in ...

New

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

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All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in Burien, WA

Junior Machine Learning Compiler Engineer information

See Burien, WA salary details

$38.3K

$82.1K

$125.2K

How much do junior machine learning compiler engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for junior machine learning compiler engineer in Burien, WA is $82,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $91,500.00 per year, depending on experience, location, and employer.

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are the key skills and qualifications needed to thrive as a junior machine learning compiler engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Burien, WA? The most popular types of Machine Learning Compiler Engineer jobs in Burien, WA are:
What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Burien, WA? For Junior Machine Learning Compiler Engineer jobs in Burien, WA, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Compiler Engineer jobs in Burien, WA look for? The top searched job categories for Junior Machine Learning Compiler Engineer jobs in Burien, WA are:
Junior Machine Learning Compiler Engineer jobs near you

Senior Performance Compiler Engineer - Triton

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

8th of 242 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're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible.

What you'll be doing:

  • Investigating the latest and future NVIDIA GPU hardware architecture and programming models.

  • Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization.

  • Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware.

  • Engaging in a dynamic, iterative process of optimization-sometimes starting with the kernel, sometimes with the compiler-to find the most efficient path to peak performance.

  • Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, to influence future products and ensure we are always operating at maximum efficiency.

What we need to see:

  • Bachelor, Masters or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.

  • 8+ years of relevant industry experience in software development.

  • Demonstrated strong C++ programming and software design skills, with an emphasis on performance analysis and debugging.

  • Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP.

  • Solid understanding of computer architecture and hands-on experience with assembly-level programming.

Ways to stand out from the crowd:

  • Experience in tuning BLAS or deep learning library kernels.

  • Background in numerics and linear algebra.

  • Experience with machine learning compilers like TVM or MLIR.

  • Contributions to open-source projects, especially in the AI/ML or compiler space.

  • Familiarity with the latest research in AI algorithms and numerics as well as a strong track record of contributions to open-source projects, particularly in the AI/ML, compiler, or high-performance computing domains.

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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 12, 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

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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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