NVIDIA is seeking a Senior Performance Compiler Engineer to join the open-source Triton compiler project. This role focuses on enhancing AI performance on NVIDIA GPUs through compiler technology and optimization techniques. The engineer will work with cutting-edge technologies and collaborate with various teams to drive innovations in AI applications. The position offers a dynamic environment that encourages creativity and technical excellence.

• Bachelor, Masters or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.
• 8+ years of relevant industry experience in software development.
• Demonstrated strong C++ programming and software design skills, with an emphasis on performance analysis and debugging.
• Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP.
• Solid understanding of computer architecture and hands-on experience with assembly-level programming.

• Investigate the latest and future NVIDIA GPU hardware architecture and programming models.
• Work on advanced algorithms and numerics to identify new optimization opportunities.
• Design and implement compiler technology using MLIR to optimize high-level kernel descriptions.
• Engage in a dynamic process of optimization to achieve peak performance.
• Collaborate with teams across NVIDIA to influence future products and ensure maximum efficiency.

• 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.