Company:Qualcomm Canada ULC
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
Job Purpose & Responsibilities:As a member of Qualcomm's ML Systems Team, you will participate in two activities:
- Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW
- Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm's ML HW/SW offerings
Key Responsibilities:- Contributing to the development and evolution of ML/AI compilers within Qualcomm
- Defining and implementing algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW
- Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows.
- Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
- Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms
- Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
- Pre-Silicon prediction of performance for various ML algorithms
- Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle framework, compute and system memory-related bottlenecks
• Successful applicants will work in cross-site, cross-functional teams.
Requirements:- Demonstrated ability to learn, think and adapt in fast changing environment
- Detail-oriented with strong problem-solving, analytical and debugging skills
- Strong communication skills (written and verbal)
- Strong background in algorithm development and performance analysis is essential
The following experiences would be significant assets:- Strong object-oriented design principles
- Strong knowledge of C++
- Strong knowledge of Python
- Experience in compiler, CPU, DSP and/or GPU design and development is an asset
- Knowledge of network model formats/platforms (eg. PyTorch, ONNX) is a strong asset
- Knowledge of software development processes (revision control, CD/CI, etc.)
- Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
- On-silicon debug skills of high-performance compute algorithms
- Knowledge of algorithms and data structures
- Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators
Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
If you would like more information about this role, please contact Qualcomm Careers.
