Machine Learning Compiler

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.

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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.
• Solid C++ programming skills
• Proven ability to lead teams and deliver complex software projects in fast-paced environments

 

Why Join Us?

You’ll work on state-of-the-art ML compilers, applying advanced algorithms to optimize AI workloads for next-generation hardware. If you’re passionate about pushing the boundaries of compiler technology and leading impactful teams, this is the role for you.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.