NVIDIA is seeking software engineers for the CUDA Tile team, which focuses on supporting a new tile-based programming model for NVIDIA LPUs. The role involves working on compiler transformations and optimizing performance for tile-based kernels across various GPU architectures. Candidates will be part of a dynamic team that is at the forefront of deep learning advancements. This position offers the opportunity to make a significant impact in the AI and 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 compiler optimization, performance analysis, and IR design.
• Excellent C/C++ programming and software design skills, including debugging and performance analysis.
• Strong interpersonal skills and the ability to work in a dynamic product-oriented team.

• Design and implement compiler transformations for the CUDA Tile programming model.
• Develop MLIR-based dialects and lowering passes.
• Optimize the performance of tile-based kernels for multiple generations of NVIDIA GPU and LPU architectures.
• Define public APIs and craft compiler and optimization techniques.

• 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.