NVIDIA is seeking an AI & Deep Learning Compiler Engineer to join its Deep Learning & AI Compiler team. This role focuses on developing compiler optimization algorithms for deep learning networks, leveraging NVIDIA's GPUs to enhance performance across various applications. The engineer will work in a dynamic environment, contributing to the advancement of AI technologies and compiler techniques. Candidates will have the opportunity to make a significant impact in the deep learning community.

• Bachelor’s, master’s or Ph.D. in Computer Science, Computer Engineering, or a related field.
• 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
• Experience with compiler technologies such as MLIR, LLVM, XLA, or Triton.
• Excellent programming skills in C/C++ and Python, including debugging and performance analysis.
• Strong interpersonal skills and the ability to work independently in a team-oriented environment.

• Analyze deep learning networks and develop compiler optimization algorithms.
• Define public APIs and implement performance optimizations and analysis.
• Craft and implement compiler techniques for AI workloads and future NVIDIA GPUs.
• Debug performance bottlenecks on GPUs using strong programming skills in CUDA.
• Lead development efforts by defining project goals and scope.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.