NVIDIA-posted 13 days ago
Full-time • Mid Level
Austin, TX
5,001-10,000 employees

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.

  • 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.
  • 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
  • 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
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