Principal DevOps Engineer, ML Infra & Performance

Linuxassociation; Markham; Hybrid; CAD 140,000 - 200,000; Full time

Job summary

Qualcomm is seeking a Sr Staff/Principal DevOps Engineer to join the Machine Learning Infrastructure and Performance team in Markham, Ontario. You will maintain on-site servers and devices, improve CI/CD pipelines and model tooling, and plan scalable infrastructure for large ML workloads.

The role requires deep Linux expertise, CI/CD with GitHub Actions, containerization with Docker, and strong Python-based automation.

Qualifications

• Bachelor's degree in CS/Engineering or related field with 8+ years of relevant work experience
• Master's degree in CS/Engineering or related field with 7+ years of relevant work experience
• PhD in CS/Engineering or related field with 6+ years of relevant work experience

Responsibilities

• Operate and improve the Linux self-hosted GitHub runner fleet: capacity, scheduling, storage, monitoring, recovery, access, incident response.
• Build reliable GitHub Actions pipelines and reproducible Docker environments for builds, tests, model benchmarks, artifacts, and releases.
• Own and innovate on the Python task/workflow orchestration infrastructure (Prefect-esque).
• Steward performance-data ingestion and analysis (FastAPI/PostgreSQL).
• Plan the next scale step: isolate workloads, improve cache and artifact lifecycle, evaluate elastic/cloud or batch execution.
• Turn tooling into reusable platform components for other teams.

Skills

Linux

CI/CD

Docker

Python

GitHub Actions

FastAPI

PostgreSQL

ONNX

Education

Bachelor's degree

Master's degree

PhD

Tools

Git LFS

Prefect-esque orchestration

ONNX models

PyTorch

Job description

Qualcomm is seeking a Sr Staff/Principal DevOps Engineer to join the Machine Learning Infrastructure and Performance team in Markham, Ontario. You will maintain on-site servers and devices, improve CI/CD pipelines and model tooling, and plan scalable infrastructure for large ML workloads.

The role requires deep Linux expertise, CI/CD with GitHub Actions, containerization with Docker, and strong Python-based automation.