Machine Learning Compiler

General Summary:Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI accelerators for the Cloud and Datacenter market. This role combines deep technical expertise with strategic leadership to deliver high-performance compiler solutions that enable next-generation AI workloads.Key Responsibilities:Technical Leadership:- Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques.- Oversee feature design, code reviews, and integration of compiler components into the AI software stack.- Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets.Team and Project Management:- Manage and mentor a team of engineers, fostering technical growth and collaboration.- Plan and execute projects to meet release deliverables, balancing tactical improvements with strategic roadmap goals.- Coordinate cross-functional efforts with hardware, architecture, and AI framework teams.```{=html}```- Strategic Vision:```{=html}```- - Shape the evolution of ML compiler technology within the organization, aligning with industry trends and internal product strategies.Minimum Qualifications:- Bachelors degree in Computer Science, Electrical Engineering, or related field and 10+ yearsof relevant experience; OR- Masters degree and 8+ yearsof experience; OR- Ph.D. and 6+ yearsof experience in compiler development, ML systems, or related areas.Preferred Skills and Experience:- Strong background in compiler design (LLVM, optimization passes, IR transformations).- Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations.- Familiarity with ML hardware accelerators, memory hierarchies, and performance modeling.- Solid C++ programming skills- Proven ability to lead teams and deliver complex software projects in fast-paced environmentsEEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Created: 2025-12-05