Machine Learning Compiler

About this role

## Company: Qualcomm Technologies, Inc. ## Job Area: Engineering Group, Engineering Group > Machine Learning Engineering 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 & 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

* Strategic Vision: * * Shape the evolution of ML compiler technology within the organization, aligning with industry trends and internal product strategies. Minimum Qualifications: * Bachelor’s degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience; OR * Master’s degree and 8+ years of experience; OR * Ph.D. and 6+ years of experience in compiler development, ML systems, or related areas

Preferred Skills & 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

* Sol

Apply for this role on Qualcomm’s official careers site.