Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)

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

In short

Qualcomm is seeking a Machine Learning Engineer to join their ML Systems Team in Markham, Ontario. This role involves developing and optimizing ML/AI compilers for efficient performance on Qualcomm hardware, and analyzing ML algorithms to influence future product offerings. The position is open to candidates from new graduate to principal levels.

Responsibilities

Participate in the development and evolution of ML/AI compilers (production and exploratory versions).
Analyze ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings.
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 to tackle 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 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.

Desired Qualifications

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.

Benefits

Qualcomm is committed to providing an accessible process for individuals with disabilities.
Qualcomm is committed to making our workplace accessible for individuals with disabilities.