Qualcomm
Sr to Principal Machine Learning Engineer, Framework & Performance
- Compensation
- Not disclosed
- Location
- Markham, Ontario, Canada
- Work setup
- Onsite
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
- Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committ
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- If you would like more information about this role, please contact Qualcomm Careers.
Full description
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Company:
Qualcomm Canada ULC
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things.
We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality. New PositionJob 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