Build ML/AI compiler capabilities at Qualcomm Canada ULC using C++, Python, and performance analysis across future hardware and software.
This Machine Learning Engineer develops production and exploratory compilers for efficient mappings of ML/AI algorithms. The work connects PyTorch with Qualcomm compiler flows and examines workloads across technology designs. You will contribute within cross-site, cross-functional engineering teams.
Key Responsibilities:
- Develop and evolve Qualcomm ML/AI compilers
- Implement algorithms for high performance and low power
- Couple PyTorch efficiently to compiler flows
- Analyze network design trends and hardware implications
- Explore performance, area, and power trade-offs
Requirements:
- Bachelor's degree in computer science, engineering, information systems, or related field
- Strong algorithm development and performance analysis background
- Solid problem-solving, analytical, and debugging skills
- Strong written and verbal communication skills
- Object-oriented design, C++, and Python knowledge are assets
Apply compiler development, PyTorch, C++, Python, and performance analysis to Qualcomm ML/AI engineering challenges.