Senior Compiler Engineer - AI

Reposted 9 Days Ago
3 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves advancing compiler technologies and machine learning solutions, requiring extensive experience in software engineering, compiler design, and various ML technologies.
Summary Generated by Built In

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 seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning landscape—including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the analysis/manipulation of high-dimensional data—while also having strong foundations in compiler design and domain-specific languages.

What you'll be doing:

Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.

Join committed team members in leading tech sectors. Innovate in machine learning, system design, and more. Influence global products.

What we need to see:

  • BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools

  • 8+ years of software engineering and ML experience (tools development preferred)

  • Strong knowledge of compilers, code generation, and GPU architecture

  • Proficiency in Python, C/C++, Julia, Lisp/Scheme

  • Solid mathematical and scientific foundation relevant to ML and compiler technologies

Ways to Stand Out From the Crowd

  • 10+ years of hands-on experience working with Python, C/C++, Julia, Lisp/Scheme

  • Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems

  • Expertise in developing and deploying AI/ML solutions to production environments and embedded systems

  • Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration

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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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

Top Skills

C/C++
Julia
Lisp/Scheme
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”

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