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 productive 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
Strong 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.

#J-18808-Ljbffr

📌 Machine Learning Compiler Engineer (Ontario)
🏢 QUALCOMM
📍 Ontario