We are looking for an accomplished Engineering Manager to lead the PTX Compiler Team.
Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including Generative AI, ML/DL, HPC. 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. You will lead a team that develops PTX ISA for new GPUs. 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. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs. You will be solving challenging problems working alongside some of the top minds in GPU computing and systems software. See your leadership efforts in action as HPC and DL developers use PTX to program new GPUs.
What you will be doing:
You will provide administrative and technical direction to a team of 3-6 system software development engineers, including planning, scheduling and execution of projects and activities.
Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL.
Coordinate cross functional development with rest of the compiler stack.
Working with customers/partners to gather feedback and drive innovative ideas and features to incorporate into the product.
Drive schedule execution and quality, software engineering practices.
Recommend changes to policies and establish procedures that affect immediate organization.
Communicate with senior management for team vision and development progress.
Groom future engineering leaders and mentor junior engineers.
What we need to see:
BS or MS degree in Computer Science, Computer Engineering, or related fields with a minimum of 10 overall years of experience with 3 years as manager in the area of low level system SW development related to compiler, linkers, loaders, binary tools.
Superb analytical and C/C++ programming skills
Experience 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 Assembly Language / Processor ISA (GPU ISA not mandatory but 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, MLIR
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
