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

Technology, Data & Digital · IT Infrastructure & Security · DevOps · Machine Learning · Software Engineering

In short

Qualcomm Canada ULC is seeking a Sr Staff/Principal DevOps Engineer to manage machine learning infrastructure and performance. This role involves maintaining Linux servers, optimizing CI/CD pipelines with Docker, and innovating Python orchestration for hardware measurements and data analysis.

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.

Requirements

Depth in Linux
Depth in CI/CD
Depth in Docker
Depth in Python
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.
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.
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Desired Qualifications

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

Benefits

Qualcomm is an equal opportunity employer.
Qualcomm is committed to providing an accessible process.
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.

Skills

LinuxCI/CDDockerPythonGitHub ActionssystemdNFSGit LFSpytestFastAPIPostgreSQLREST APIsONNXPyTorchadb

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