Build machine learning compiler performance solutions at Qualcomm, using C++ and Python to optimize algorithms for efficient Qualcomm hardware mappings.
This Staff-level engineering role spans ML systems, compiler development, and workload analysis. You will connect PyTorch with Qualcomm ML/AI compiler flows while studying network design trends. Your work will inform future hardware and software features through performance, area, and power analysis.
Key Responsibilities:
- Develop and evolve production and exploratory ML/AI compilers
- Define algorithms for high-performance, low-power Qualcomm hardware compilation
- Couple PyTorch efficiently to Qualcomm ML/AI compiler flows
- Create C++ and Python performance-driven simulation components
- Analyze simulations and recommend hardware and software enhancements
Requirements:
- Bachelor's degree and four-plus years of related experience
- Master's degree and three-plus years of related experience
- PhD and two-plus years of related experience
- Strong C++ and Python knowledge with algorithm development experience
- Performance analysis, debugging, and analytical problem-solving skills
Apply compiler development, PyTorch integration, and performance analysis expertise to Qualcomm's power-efficient on-device AI systems.
Machine Learning Compiler Performance Engineer in Ottawa employer: QUALCOMM, Inc.
Qualcomm Canada ULC is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the field of AI and machine learning. Located in a vibrant tech hub, employees benefit from competitive compensation, a comprehensive benefits package, and ample opportunities for professional growth and development. Join a team that not only values your contributions but also supports your journey in shaping the future of connected devices.
