Drimva

Qualcomm

Compiler Tools Engineer

$124K–$186K

Austin, Texas · On-site · Full-time · Posted Sep 17, 2026

Experience
5 years or more of compiler engineering experience in industry or academia. Minimum qualifications also state 2+ years of software, systems, or related work experience with a bachelor’s degree; 1+ year with a master’s degree; or a PhD, plus 1+ year of academic and/or work experience with compiler or tools.
Education
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Minimum qualifications also list a related bachelor’s degree, master’s degree, or PhD.

About the job

Develop compiler components and optimization pipelines for Qualcomm’s Hexagon DSP, improving performance, code size, correctness, and usability for machine learning and other workloads.

What you'll do

  • Develop LLVM- and MLIR-based compiler components and improve machine-learning compiler lowering and optimization pipelines.
  • Use profiling and benchmark data to improve performance and code size, and debug correctness and code-generation issues.
  • Analyze requirements and collaborate with architecture and hardware engineers on software solutions for Qualcomm SoCs.

What they ask for

  • Hands-on experience with LLVM, MLIR, GCC, or another production compiler framework.
  • Strong modern C/C++ programming skills and experience with large software codebases.
  • At least 5 years of compiler engineering experience in industry or academia.
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Nice to have

  • Production compiler infrastructure experience using LLVM and/or MLIR.
  • Experience with machine-learning compiler stacks, ML framework integration, graph-level optimizations, or lowering from PyTorch, TensorFlow, or ONNX.

Pay

$123,700.00 - $185,500.00 USD base salary

Tools

LLVM, MLIR, GCC, C/C++, PyTorch, TensorFlow, ONNX, Hexagon DSP

AI focus

Develop and optimize compiler pipelines for machine-learning workloads and execution on Qualcomm hardware.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)