Compiler Tools Engineer

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Compiler Toolchain Software General Summary: Interested in enabling high-performance machine learning, signal processing, and multimedia workloads across millions of devices on the Qualcomm Snapdragon platform? Come join our compiler team. We develop LLVM compilation suite for Qualcomm’s Hexagon DSP delivering rich performance for machine learning, wireless communication, audio, and image processing applications on the Android platform. We are looking for compiler engineers who will help us build these software platforms. In this role, you will collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomm’s silicon. You will work with a team of compiler engineers with rich experience and knowledge. We work on the entire compilation stack including programming languages and intermediate representations, code generation, improving performance, and programmer usability.

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, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and come up with software solutions best suited for Qualcomm's SOCs Minimum Skills Hands-on experience with LLVM, MLIR, GCC, or another production compiler framework Strong programming skills in modern C/C++ and experience working in large software codebases 5 years or more of compiler engineering experience in industry or academia. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.

Professional experience developing production-quality compiler infrastructure using LLVM and/or MLIR Strong knowledge of compiler fundamentals, including intermediate representations, compiler analyses, optimization passes, code generation, and debugging Experience analyzing compiler correctness, generated code quality, performance, or code size using benchmarks, tests, and debugging tools Experience with machine learning compiler stacks, ML framework integration, graph-level optimizations, or lowering from frameworks such as PyTorch, TensorFlow, or ONNX. Knowledge of instruction sets and computer architecture, including SIMD/vector architectures, pipeline behavior, hazards, cache hierarchy, memory organization, and accelerator constraints. Working knowledge of system software tools such as assemblers, linkers, debuggers, profilers, and performance-analysis tools. Strong communication skills and interpersonal skills Deep knowledge of software engineering Master’s degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field. Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related field and 2+ years of Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Electrical Engineering, or related field and 1+ year of Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Electrical Engineering, or related field. • 1+ year of any combination of academic and/or work experience with compiler or tools. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  disability-accomodations@qualcomm.com  or call Qualcomm's toll-free number found  here . Upon request, Qualcomm will provide reasonable