Jobs in Canada

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Added 29 days ago
SE
Senior AI Platform & MLOps Specialist
Schneider Electric
Montreal, QC
- Full-time
A background in deploying and operating machine-learning or AI systems.
Added 1 month ago
M
Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
Google Cloud Professional Machine Learning Engineer
Added 1 month ago
RB
Principal Technical Product Manager, Evaluations & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
Help define value messaging and target user personas for the capability area's launches, in partnership with your peer Principal for go-to-market
Added 1 month ago
R
Principal Technical Product Manager, Evaluations & Governance
RBC
Toronto, ON
- Full-time
Help define value messaging and target user personas for the capability area's launches, in partnership with your peer Principal for go-to-market
Added 1 month ago
UO
Research Associate
University of Alberta
Edmonton, AB
- Part-time
Candidates must have demonstrated experience in FPGA-based development and AI/machine learning modeling
Added 1 month ago
EL
Agent de Liaison médical, Oncologie (tous types de tumeurs) - Québec
Eli Lilly and Company
Quebec, QC
- Full-time
En tant qu’agent de liaison des sciences médicales, vous serez le principal ambassadeur scientifique de Lilly auprès des principaux experts en oncologie du Canada, pour plusieurs types de…
Added 1 month ago
C
Senior / Principal Forward Deployed Engineering & AI Solutions Architect
CGI
Toronto, ON
- Full-time
Identify and qualify opportunities for generative AI, machine learning, intelligent automation and agentic workflows based on demonstrable business value and feasibility.
Added 1 month ago
N
Principal AI/Cloud Engineer
nLogic
Cherry Point, AB
- Full-time
nLogic is seeking a Principal AI/Cloud Engineer to support anticipated work on a mission-focused effort in the Cherry Point area. This role will play a key part in leading artificial…
Added 1 month ago
I
AI Data Architect
Insight
Toronto, ON
- Full-time
Design and lead modern data architectures that support analytics, business intelligence, machine learning, and AI-driven use cases.
Added 1 month ago
T
Senior Applied Machine Learning Scientist (predictive analytics)
TD
Toronto, ON · Montreal, QC
- Full-time
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible…
Added 1 month ago
AI Data Architect
Insight Enterprises, Inc.
Toronto, ON
Design and lead modern data architectures that support analytics, business intelligence, machine learning, and AI-driven use cases.
Added 1 month ago
GP
Warehouse Supervisor (Evenings)
GIZEH Packaging NA Inc.
Brantford, ON
- Full-time
Pay Structure: Hourly; starting at $27.00/hour ($1 Evening Shift Premium) · Supervise (evening shift) inbound and outbound operations including Ferrero JIT
Added 1 month ago
CO
Principal Associate, AI Engineer
Capital One
Toronto, ON
- $148,200 to $169,100 CAD / year
- Full-time
…We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where…
Added 1 month ago
MC
Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
Myticas Consulting
Toronto, ON
- Full-time
Principal Banking Cloud Architect | Client Partner | Technology Consulting
Added 1 month ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
…BI/KPI reporting, rules, statistical methods, forecasting, machine learning, and GenAI, with clear baselines, acceptance criteria, and measurable business…
Added 1 month ago
CO
Principal Associate, Product Management
Capital One
Toronto, ON
- $134,400 to $153,300 CAD / year
- Full-time
Manage and scale data and machine learning platforms across the organization to deliver smart, personalized experiences.
Added 1 month ago
HB
Senior Specialist, Data Loss Prevention
HomeEquity Bank
Toronto, ON
- Full-time
Reduce false positive volume through iterative rule refinement, exact data matching, document fingerprinting, machine learning classifiers, and context based conditions
Added 1 month ago
N
AI Principal Architect
Nasdaq
St. John's, NL
- Full-time
Identify and apply opportunities for AI, machine learning, and intelligent automation to improve efficiency, scalability, and customer outcomes, with a strong focus on responsible use and…
Added 1 month ago
I
Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
· Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 1 month ago
Principal Product Acceleration Specialist - Auth0
Okta
Toronto, ON
As a Principal Product Acceleration Specialist for Auth0, you will play a critical role in driving customer success, deep product adoption, and long-term retention across Okta’s most…
Added 1 month ago
TU
Junior NLP Data Scientist
The University of British Columbia
Vancouver, BC
- $5,692.25 to $8,179.5 CAD / month
- Part-time
…clinical tools that use natural language processing (NLP) and machine learning to improve the psychosocial health of patients and enhance care provided by…
Added 1 month ago
Senior Business Analyst
World Vision Canada
Mississauga, ON
Reporting to the Principal Advisor, Enterprise Digital Strategy, the incumbent holds an ongoing enterprise position, with the multi-year transformation program as its principal current…
Added 1 month ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 1 month ago
Research Associate - Herzberg Instrument Science Fellowship
National Research Council Canada
Victoria, BC
…interests within an inclusive environment for active research, learning and service. They will have a goal of becoming a Principal Investigator for the next generation of astronomical…
Added 1 month ago
E
Principal Application DevOps Engineer, AI & Automation
Entrust
Canada
- Full-time
…databases, integrations, and on-premises cloud infrastructure. The Principal Application DevOps Engineer, AI & Automation will bring an application-first engineering perspective to Cloud…

Qualcomm

Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance

Markham, ON, Canada

Full-time

Apply on careers.qualcomm.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 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

Purpose:

As a member of Qualcomm’s ML Systems Team, you will:

Maintain local server racks and on-site devices
Make infrastructure and processes robust, reliable, and efficient
Identify and remedy items impacting productivity of the development team.

Responsibilities:

Operate and improve the Linux self-hosted GitHub runner fleet: capacity, scheduling, storage, monitoring, recovery, access, and incident response.
Build reliable GitHub Actions pipelines and reproducible Docker environments for builds, tests, model benchmarks, artifacts, and releases. Maintain the Git LFS-backed model zoo and its shared caches.
Own and innovate on the Python task/workflow orchestration infrastructure (Prefect-esque) to make hardware measurements traceable, repeatable, and actionable.
Steward performance-data ingestion and analysis, including the FastAPI/PostgreSQL-backed service and its clients; improve pytest integration, regression detection, reporting, triage, and release promotion.
Plan the next scale step: isolate workloads, improve cache and artifact lifecycle, and evaluate elastic/cloud or batch execution where it fits scarce devices and large models.
Turn project-specific tooling into supported, reusable platform components for other teams.

Required:

Depth in:

Linux
CI/CD
Docker
Python

The ideal candidate will be familiar with:

Linux infrastructure: Self-hosted GitHub Actions runners, systemd, remote filesystems (NFS), and resource monitoring.
CI/CD and containers: GitHub Actions, reusable workflows, Docker, and release automation. Familiarity with Jenkins is a plus.
Model and artifact management: Git LFS, shared caches, and large-model storage (ONNX models).
Python testing: pytest, pytest-xdist, integration tests, and performance reporting (with run-to-run variation).
AI performance tooling: ONNX, PyTorch, QAIRT SDK is a plus, Android device execution and profiling is a plus (adb).
Performance data: REST APIs, FastAPI, and PostgreSQL, or similar libraries/frameworks.
Future scaling: batch scheduling (ex. IBM Spectrum LSF) or cloud infrastructure for horizontally scaling automation.

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.

Apply on careers.qualcomm.com About employer

More about this job

Responsibilities

The role involves maintaining local server racks and on-site devices while building robust, reliable infrastructure for machine learning development. You will manage GitHub runner fleets, optimize CI/CD pipelines, and innovate on workflow orchestration to improve team productivity.

Requirements

Candidates must have a degree in a relevant field and at least 6 to 8 years of experience in hardware, software, or systems engineering. Strong proficiency in Linux, CI/CD, Docker, and Python is required to support machine learning performance and infrastructure.

Skills

Linux
CI/CD
Docker
Python
GitHub Actions
Systemd
NFS
Git LFS
ONNX
Pytest
FastAPI
PostgreSQL
Machine Learning Infrastructure
Performance Profiling
Automation
Cloud Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Linux
CI/CD
Docker
Python
GitHub Actions
Systemd
NFS
Git LFS
ONNX
Pytest
FastAPI
PostgreSQL
Machine Learning
Infrastructure
Automation
Performance Profiling
Cloud Infrastructure
Batch Scheduling
IBM Spectrum LSF
QAIRT SDK
Android
Adb
DevOps
Model Zoo
Workflow Orchestration
Regression Detection
Release Automation
Linux Infrastructure
Hardware Engineering
Software Engineering

Seniority

Senior

Tools

GitHub Actions
Docker
Git LFS
pytest
FastAPI
PostgreSQL
Jenkins
IBM Spectrum LSF
ONNX
adb

Languages

English

Fields of study

Computer Science
Engineering
Information Systems

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Work requirements

Jobs in Canada