Senior GPU Compiler Development Engineer (Santa Clara)

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface.As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler infrastructure to enhance it to support new compilation models for DL and Generative AI codes. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs.What you will be doing:Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL.Collaborating with architecture and programming model teams to design and implement programming models for next generation GPUs.Working closely with others to help design compilation stack and strategies for AI and DL workloads.Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation.What we need to see:BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields.6+ years of experience in the area of compiler front end, programming language designs, Compilers/Linkers.Superb analytical and C/C++ programming skills.Able to expertly use AI tools and maintain AI generated artifactsExperience in any one area of compiler development including feature support, code generation and compiler infrastructure.Excellent and strong interactive, verbal and written communications skills.Understanding of any Processor ISA (GPU ISA a plus).Good track record of developing, driving and delivering software products.Ways to stand out from the crowd:Experience in Programming Languages design and drafting programming language standards.Knowledge of GPU development and compute APIs such as CUDA, and OpenCL.Development experience in LLVM IR, MLIRWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until May 3, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.SummaryLocation: US, CA, Santa Clara; US, TX, Austin; US, TX, Remote; US, CA, Remote; US, WA, RedmondType: Full time