Senior GPU Compiler Development Engineer

Overview

• We are looking for an experience compiler engineer for an exciting role in the GPU Assembler team.
• Join the GPU Assembler team and help build tools that enable creation of most performant applications and libraries for HPC, DL and Autonomous Driving domain.
• Work with key HPC developers around the world to help them achieve the best performance & efficiency on current and next generation NVIDIA GPUs by developing best in industry Assembler and Code Analysis Tools.
• We will be part of a team that develops a core component of our platform for accelerating general purpose computation on the GPU.
• Disassembler (NVDISASM) developed by the team is used by all the CUDA users worldwide to analyze their binaries with various code analysis features built into the disassembler.
• Assembler is used for achieving the best performance for key DL applications.
• What you will be doing: Lead design and development of NVIDIA’s Assembler and Disassembler for GPU compute.
• Work on binary analysis & instrumentation features like call graphs generation, program register usage and patching of GPU binaries Work with GPU architecture and debugger/profiler development teams to understand their requirements and deliver new features & product improvements.
• Collaborate closely with teams developing other related components to ensure compatibility, reliability, and high-quality code generation Working with customers/partners to collect feedback and drive innovative ideas and features to incorporate into the product What we need to see: BS or MS degree in Computer Science, Computer Engineering, or related fields with 5+ years of experience in low-level system SW development and a minimum of 3 years related to assemblers, binary analysis tools, debuggers Good analytical and C/C++ programming skills Experience in any one area of compiler development including feature support, code generation and compiler infrastructure Understanding of Assembly Language / Processor ISA (GPU ISA not required but a plus) Knowledge of object file formats such as ELF and debugging formats (DWARF).
• Ways to stand out from the crowd: Understanding of debugger / profiler tools / bintools / Linker internals, experience in binary analysis / instrumentation tools like BOLT etc.
• Usage of AI tools in everyday work like Cursor, Windsurf etc.
• Knowledge of GPU development and compute APIs such as CUDA and OpenCL.