Senior GPU Compiler Engineer (LLVM/MLIR) - CUDA Performance

Advanced Micro Devices; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Advanced Micro Devices (AMD) is seeking a Senior Staff Software Engineer to help drive high‑quality, industry‑leading technologies across GPU, AI, and HPC workloads. You will lead compiler optimizations, kernel development, and performance improvements for next‑gen architectures.

You will collaborate with multiple engineering teams to enable new hardware features, build profiling tooling, and influence software design decisions in a fast‑paced environment.

Qualifications

• Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related discipline.
• Experience with compiler technologies (LLVM, MLIR) and GPU programming.
• Strong knowledge of GPU architectures and parallel computing concepts.

Responsibilities

• Design and implement compiler optimizations using LLVM and/or MLIR targeting GPU architectures.
• Develop and optimize GPU kernels using CUDA, HIP, or similar parallel programming models.
• Analyze application performance, identify bottlenecks, and deliver end-to-end performance improvements.
• Collaborate with architecture, runtime, and framework teams to enable new hardware features.
• Build tooling and methodologies for profiling, benchmarking, and performance analysis on GPU systems.
• Contribute to compiler code generation, IR transformations, and kernel scheduling.

Education

Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

Tools

CUDA

HIP

LLVM

MLIR

Job description

Advanced Micro Devices (AMD) is seeking a Senior Staff Software Engineer to help drive high‑quality, industry‑leading technologies across GPU, AI, and HPC workloads. You will lead compiler optimizations, kernel development, and performance improvements for next‑gen architectures.

You will collaborate with multiple engineering teams to enable new hardware features, build profiling tooling, and influence software design decisions in a fast‑paced environment.