Machine Learning Framework, Compiler & Performance Engineer

Company

Qualcomm Canada ULC

Engineering Group, Engineering Group >
Machine Learning Engineering

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Replacement Position

• 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

• 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 So Cs
• 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 applications will work in cross-site, cross-functional teams

• 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

• Strong object-oriented design principles
• Strong knowledge of C++
• Strong knowledge of Python
• Experience in compiler 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

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Applicants:
Qualcomm is an equal opportunity employer.

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Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those…