Senior Staff Compiler Engineer Toronto/Hybrid We are partnered with a global leader in the semiconductor industry, assisting in the search for a Senior-Staff level compiler optimization engineer to join their growing AI/ML R&D; team.

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, We envision 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.

Job Purpose & Responsibilities

As a member of the 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

Defining and implementing algorithms for mapping ML/AI workloads to Qualcomm HW

Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design

Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs





Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms

Pre-Silicon prediction of performance for various ML algorithms

Running, debugging and analyzing performance simulations to suggest enhancements to hardware and software to tackle compute and system memory-related bottlenecks

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Requirements

Demonstrated ability to learn, think and adapt in fast-changing environments

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++

Robust knowledge of Python

Experience in compiler design and development

Knowledge of network model formats/platforms (eg. Pytorch, Tensorflow, ONNX) is an asset.

On-silicon debug skills of high-performance compute algorithms Knowledge of algorithms and data structures

Knowledge of software development processes (revision control, CD/CI, etc.) Familiarity with tools such as git, Jenkins, Docker, clang/MSVC

Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators

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