NVIDIA is seeking software engineers for the CUDA Tile team, focusing on a new tile-based programming model for GPUs. This role involves working on CUDA Tile, which is integral to advancements in deep learning and AI. The team is dedicated to optimizing performance across various NVIDIA GPU architectures. 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 compiler optimization, performance analysis, and IR design.
• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
• Strong interpersonal skills and the ability to work in a dynamic product-oriented team.

• Design and implement compiler transformations for CUDA Tile.
• Develop MLIR-based dialects and lowering passes.
• Optimize the performance of tile-based kernels for multiple generations of NVIDIA GPU 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.