Machine Learning Framework, Compiler & Performance Engineer (Staff level and Up)

Qualcomm; Markham; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading technology firm in York Region is looking for a Machine Learning Engineer. In this role, you will develop ML compilers and implement algorithms for Qualcomm's hardware. Candidates should have a strong background in algorithm development and possess a degree in Computer Science or a related field, along with significant experience in algorithm performance analysis. This role offers competitive salary and a collaborative work environment.

Qualifications

• 4+ years of related experience with a Bachelor's degree, or 3+ years with a Master's degree, or 2+ years with a PhD.
• Experience with object-oriented design principles.
• Strong debugging and analytical skills.

Responsibilities

• Develop and evolve ML/AI compilers for Qualcomm.
• Implement algorithms for compiling ML/AI workloads for Qualcomm HW.
• Analyze performance trade-offs of ML algorithms.

Skills

Algorithm development

Performance analysis

Communication skills

Problem-solving skills

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Master’s degree in Computer Science, Engineering, or related field

PhD in Computer Science, Engineering, or related field

Tools

C++

Python

Git

Jenkins

Docker

Job description

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.

Job 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

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.

OR Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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 applications 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
• Experience in compiler 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

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 committed to providing an accessible process. You may email [e-mail] or call Qualcomm\'s toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including security and confidentiality requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.