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Qualcomm

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

Markham, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 25, 2026

Original 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. New Position

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

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 applicants 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, 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

Minimum Qualifications:

• 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.

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 e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other 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 at Qualcomm. Staffing and recruiting agencies and individuals being 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. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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

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More about this job

Responsibilities

You will contribute to the development and evolution of ML/AI compilers to ensure efficient mapping of algorithms onto Qualcomm hardware. Additionally, you will analyze performance, power, and area trade-offs to drive future hardware and software feature enhancements.

Requirements

Candidates must possess a Bachelor's, Master's, or PhD in a relevant field with 6 to 8+ years of experience in hardware, software, or systems engineering. Strong proficiency in C++, Python, algorithm development, and performance analysis is essential for this role.

Skills

Machine Learning
C++
Python
Compiler Design
Performance Analysis
Algorithm Development
PyTorch
ONNX
Computer Architecture
Digital Circuits
Debugging
Git
Jenkins
Docker
Clang
MSVC

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Compiler
Qualcomm
PyTorch
ONNX
C++
Python
Performance Analysis
SoC
Hardware Engineering
Software Engineering
Systems Engineering
Git
Jenkins
Docker
Clang
MSVC
DSP
GPU
Computer Architecture
Digital Circuits
Algorithm Development
Pre-Silicon
Debugging
Frameworks
Edge AI
5G
On-device AI

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