Senior Machine Learning Compiler Engineer

Details

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.

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.

Responsibilities

• Progress novel and inventive solutions in compilers and development tools with a focus on applied machine learning and artificial intelligence.
• Collaborate with team members in leading tech sectors to innovate in machine learning, system design, and related areas.
• Influence global products through compiler, tooling, and systems contributions.

Requirements

• BS/MS/PhD in Computer Science or a 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.

Benefits

• Competitive base salary (range depends on level and location).
• Eligibility for equity and comprehensive benefits (link to NVIDIA benefits provided in original posting).
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.

Additional details:

• Location: Austin, TX, United States.
• Employment type: Full time.
• Application acceptance at least until August 28, 2025.
• Base salary ranges provided in the posting: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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