ZipRecruiter

Log In

2

Full Time Machine Learning Compiler Engineer Jobs

Nvidia

Backend Compiler Engineer

Redmond, WA

Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...

New

Nvidia

Backend Compiler Engineer

Santa Clara, CA

Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...

New

TetraMem Inc

Compiler Engineer

San Jose, CA · On-site

$160K - $300K/yr

Design, develop, and maintain compiler toolchains that translate machine learning models from ... Collaborate closely with machine learning engineers to support model conversion, validation ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Qualcomm Technologies, Inc. is seeking an experienced CI Infrastructure Engineer to own and evolve the continuous integration infrastructure that supports their Machine Learning compiler stack. The ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Design, create, and maintain Jenkins pipelines for building, testing, and validating a Machine Learning compiler * Collaborate with compiler engineers to integrate new tests, workflows, and tooling ...

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... The ideal candidate brings broad experience across machine learning, including reinforcement ...

next page

Showing results 1-20

All JobsMachine Learning Compiler Engineer JobsFull Time Machine Learning Compiler Engineer Jobs

Full Time Machine Learning Compiler Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 16, 2026, the average yearly pay for full time machine learning compiler engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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

AspectFull Time Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization and ML infrastructureData analysis teams, focusing on data modeling, visualization, and insights
Industry UsageTech companies, AI startups, hardware firmsFinance, healthcare, marketing, and tech sectors

The Full Time Machine Learning Compiler Engineer primarily develops and optimizes compilers for ML models, requiring deep technical knowledge of compiler architecture. In contrast, Data Scientists analyze data to generate insights and build models without focusing on compiler development. Both roles are essential in AI-driven industries but serve different technical and business functions.

More about Full Time Machine Learning Compiler Engineer jobs
What are the most commonly searched types of Machine Learning Compiler Engineer jobs? The most popular types of Machine Learning Compiler Engineer jobs are:
What job categories do people searching Full Time Machine Learning Compiler Engineer jobs look for? The top searched job categories for Full Time Machine Learning Compiler Engineer jobs are:
Full Time Machine Learning Compiler Engineer jobs near you
Backend Compiler Engineer

Backend Compiler Engineer

Nvidia

Redmond, WA

Full-time

Posted 3 days ago

New

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 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

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

View All Nvidia Jobs

Apply