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NVIDIA

Senior GPU Compiler Development Engineer

NVIDIA

. Lead design and development of NVIDIA’s Assembler and Disassembler for GPU compute .

Posted 9/30/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in low-level system software development, particularly in compilers and assemblers, with a strong foundation in C/C++ programming and binary analysis tools. Proficient in GPU architecture and development, with the ability to collaborate effectively across teams to drive product innovation.

Highest-signal resume keywords
C/C++ ProgrammingCompiler DevelopmentBinary Analysis ToolsGPU DevelopmentAssembly Language

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Low-Level System Software DevelopmentBinary AnalysisAssembler DevelopmentCode GenerationFeature SupportProcessor ISAObject File FormatsDebugging FormatsInstrumentation ToolsHigh-Performance Applications
Soft Skills
Analytical SkillsCollaborationCustomer Feedback Integration
Tools & Technologies
CUDAOpenCLBOLTDebugger ToolsProfiler ToolsBinary UtilitiesLinker InternalsAI Tools
Industry Keywords
HPCDeep LearningAutonomous DrivingNVIDIA GPUs

Tech Stack

Tools & technologies
AssemblyC++

About the role

Key responsibilities & impact
  • Lead design and development of NVIDIA’s Assembler and Disassembler for GPU compute
  • Develop binary analysis and instrumentation features, including call graph generation, program register usage, and GPU binary patching
  • Work with GPU architecture and debugger/profiler development teams to understand requirements and deliver features and product improvements
  • Collaborate with teams developing related components to ensure compatibility, reliability, and high-quality code generation
  • Work with customers and partners to collect feedback and drive innovative product ideas and features
  • Develop tools enabling high-performance applications and libraries for HPC, deep learning, and autonomous driving
  • Contribute to assembler and code analysis tools for current and next-generation NVIDIA GPUs

Requirements

What you’ll need
  • BS or MS degree in Computer Science, Computer Engineering, or related fields
  • 8+ years of experience in low-level system SW development
  • Minimum of 6 years of development in compilers, assemblers, binary utilities, or binary analysis tools
  • Good analytical and C/C++ programming skills
  • Experience in compiler development, including feature support, code generation, or compiler infrastructure
  • Good understanding of Assembly Language, Processor ISA, and processor architecture; GPU ISA is a plus
  • Knowledge of object file formats such as ELF and debugging formats such as DWARF
  • Understanding of debugger, profiler tools, bintools, or linker internals is a plus
  • Experience in binary analysis or instrumentation tools such as BOLT is a plus
  • Usage of AI tools such as Cursor, Codex, or Claude is a plus
  • Knowledge of GPU development and compute APIs such as CUDA and OpenCL is a plus