GPU Compiler Engineer (LLVM/MLIR) - On-Site Campbell

Morr0; San Francisco (CA); On-site; USD 270,000 - 330,000; Full time

Job summary

Morr0 is seeking a compiler engineer for Campbell, CA on-site to build an LLVM/MLIR-based compiler for a new GPU architecture. You will work with hardware architects and GPU software engineers to optimize performance across the stack.

Required are strong C++ skills, hands-on compiler experience, and familiarity with LLVM/MLIR ecosystems. The role offers growth with competitive base pay plus equity in a cutting-edge startup.

Qualifications

• Strong programming in C++.
• Hands-on experience developing compiler infrastructure or related low-level software.
• Familiarity with LLVM, MLIR, Triton, TVM, IREE or similar compiler technologies.
• Understanding of compiler concepts such as IRs, optimization passes, code generation.
• Interest in GPU architectures or hardware-aware software development.
• Experience with GPU compiler backends and performance optimization is a plus.

Responsibilities

• Developing compiler infrastructure using LLVM, MLIR or similar frameworks.
• Implementing compiler passes, IR transformations, lowering pipelines and code generation.
• Optimizing GPU execution through scheduling, register allocation, memory management and instruction-level improvements.
• Supporting GPU compute workloads, kernel compilation and hardware-specific optimizations.
• Collaborating directly with hardware architects and GPU software engineers to improve performance.
• Debugging, profiling and benchmarking compiler-generated code.

Skills

C++

Compiler infra

LLVM/MLIR familiarity

GPU backends experience

Performance optimization

Tools

LLVM

MLIR

Triton

TVM

IREE

CUDA

Job description

Morr0 is seeking a compiler engineer for Campbell, CA on-site to build an LLVM/MLIR-based compiler for a new GPU architecture. You will work with hardware architects and GPU software engineers to optimize performance across the stack.

Required are strong C++ skills, hands-on compiler experience, and familiarity with LLVM/MLIR ecosystems. The role offers growth with competitive base pay plus equity in a cutting-edge startup.