LLVM/MLIR Compiler Engineer for High-Performance DSP

Qualcomm; Austin (TX); On-site; USD 117,000 - 175,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking compiler engineers to develop LLVM- and MLIR-based components for the Hexagon DSP, enabling high-performance ML and multimedia workloads on Snapdragon devices. You will collaborate with hardware and software teams to optimize code generation and performance.

The role covers the full compilation stack, from IRs to code generation, and requires strong C/C++ skills and experience with large codebases. Join a team focused on efficiency and scalability.

Qualifications

• Hands-on experience with LLVM, MLIR, GCC, or another production compiler framework.
• Strong programming skills in modern C/C++ and large software codebases.
• 2+ years of compiler or tools experience in industry or academia.

Responsibilities

• Develop LLVM- and MLIR-based compiler components for Qualcomm’s Hexagon DSP.
• Improve ML compiler lowering and optimization pipelines for efficient execution on Qualcomm hardware.
• Use profiling and benchmark data to drive performance and code size improvements.
• Debug correctness and code generation issues across MLIR, LLVM IR, assembly, and generated code.
• Analyze software requirements, consult with architecture and HW engineers, and design software solutions.

Skills

LLVM

MLIR

C/C++

Large codebases

Compiler engineering

Education

Bachelor’s degree in Computer Science/Engineering/EE

Master’s degree in Computer Science/Engineering/EE

PhD in Computer Science/Engineering/EE

Job description

Qualcomm Technologies, Inc. is seeking compiler engineers to develop LLVM- and MLIR-based components for the Hexagon DSP, enabling high-performance ML and multimedia workloads on Snapdragon devices. You will collaborate with hardware and software teams to optimize code generation and performance.

The role covers the full compilation stack, from IRs to code generation, and requires strong C/C++ skills and experience with large codebases. Join a team focused on efficiency and scalability.