The Job

Machine Learning Framework, Compiler & Performance Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering · Data Engineering

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In short

Qualcomm seeks a Machine Learning Framework, Compiler & Performance Engineer to develop and optimize ML/AI compilers and algorithms for efficient execution on Qualcomm hardware. This role involves contributing to ML/AI compilers, analyzing ML/AI algorithms, and ensuring high performance and low power consumption on Qualcomm's hardware.

Responsibilities

  • Contribute to the development and evolution of ML/AI compilers within Qualcomm.
  • Define and implement algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW.
  • Create and implement algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows.
  • Understand trends in ML network design and their impact on SW and HW.
  • Explore and analyze performance/area/power trade-offs for future HW and SW ML algorithms.
  • Create performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs.
  • Perform pre-Silicon prediction of performance for various ML algorithms.
  • Run, debug, and analyze performance simulations to suggest enhancements to Qualcomm hardware and software for bottlenecks.
  • Work in cross-site, cross-functional teams.

Requirements

  • Demonstrated ability to learn, think and adapt in a 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.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Desired Qualifications

  • 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.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support your success at work, at home, and at play.
#Machine Learning#Compiler#Performance Engineering#Framework#AI
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Company

Qualcomm

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Markham, Canada

Qualification

Bachelor

Applicants

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