Machine Learning Framework, Compiler & Performance Engineer; level

Position: Machine Learning Framework, Compiler & Performance Engineer (Staff level and Up)
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 So Cs

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 disabilit 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.

To all Staffing and Recruiting Agencies:
Our Careers Site is only for individuals seeking a job ffing and recruiting agencies and individuals represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.

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

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