GPU Compiler Lead

Bolt Graphics

$175K — $250K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years industry experience with GPU compiler architecture
  • Bachelor's/Master's in Computer Engineering, Computer Science, or related field
  • Strong proficiency in C++ and assembly
  • Expertise in LLVM and GCC internals
  • Deep understanding of GPU architectures
  • Experience with code analysis and IR (LLVM, MLIR, ISPC)
  • Familiar with parallel programming languages (Vulkan, DirectX, CUDA, Metal, OpenCL, OpenGL)
  • Solid grasp of computer architecture details

Responsibilities

  • Lead development of LLVM-based compiler backend
  • Design optimization passes for parallel workloads
  • Collaborate with hardware architects to enhance performance
  • Coordinate internal teams of compiler engineers
  • Engage with partners and external contributors

Benefits

  • 100% covered premiums for Medical, Dental, and Vision
  • Equity through stock options
  • 401(k) match
  • WFH hardware provided
  • Generous Paid Time Off
Full Job Description

About the role:

We're looking for highly experienced GPU Compiler Lead. You will lead the design and implementation of a high-performance compiler stack for our proprietary GPU architecture. You'll be responsible for transforming high-level languages into highly optimized machine code.

What you'll do:

  • Lead the development of the LLVM-based compiler backend
  • Design optimization passes for parallel workloads
  • Collaborate with hardware architects to optimize performance and efficiency
  • Lead internal teams of compiler engineers and coordinate with partners and external contributors

Qualifications:

  • 8+ years industry experience leading design and implementation of a high-performance compiler stack for proprietary GPU architecture
  • Bachelor's/Master's degree in Computer Engineering, Computer Science, or related field
  • Strong proficiency with C++ and assembly
  • Expertise in LLVM and GCC internals
  • Deep understanding of GPU architectures
  • Experience with code analysis and IR (LLVM, MLIR, ISPC)
  • Deep understanding of parallel programming languages for GPUs (Vulkan, DirectX, CUDA, Metal, OpenCL, OpenGL)
  • Deep understanding of computer architecture, including memory hierarchy, instruction flow, and other modern processors
  • Demonstrated ability to ship high-quality production software
  • Experience with technical leadership

Preferred Qualifications:

  • Familiarity with ML frameworks
  • Experience co-designing hardware architectures
  • Understanding of RISC-V and vector processors

Compensation Range: $175,000-$250,000 per year (California). This range represents the anticipated base pay for this role; the final offer may vary based on qualifications, experience, and location.

Benefits:

  • Medical, Dental, & Vision - 100% covered premiums
  • Equity - Stock Options
  • 401(k) match
  • WFH Hardware
  • Generous Paid Time Off


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