Nvidia Manager GPU Compiler Engineering 

India, Maharashtra, Pune 

680341366

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