Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As part of the AISW engineering team at Qualcomm, you will own the CI, build, and release infrastructure for the Delegates portfolio — ONNX Runtime, ExecuTorch, and TFLite / LiteRT. You will ensure fast, reliable, high-quality software delivery across Linux, Windows, and Android targets leverage off-device and on-target hardware-in-the-loop (HIL) validation for Qualcomm Snapdragon SoCs, directly enabling the team's ability to ship to strategic ISV partners and align with upstream framework release cadences.

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.

What You'll Do

CI & Build Infrastructure

• Design, own, and evolve multi-platform CI pipelines for ORT QNN-EP, ExecuTorch, and LiteRT delegates across Linux, Windows (ARM64/x86), and Android.
• Maintain hermetic, reproducible build recipes and toolchains; manage cross-platform dependencies and toolchain versioning across all Delegates targets.
• Integrate HIL and on-device automated testing into CI workflows for Snapdragon SoC validation at scale.
• Drive the agentic transformation by embedding AI-assisted tooling (Claude Code, GitHub Copilot, Codex) into CI and developer workflows to improve team velocity.

Release Engineering

• Own the end-to-end release pipeline: versioning strategy, artifact packaging (Python wheels, shared libraries, Android AARs), signed binary distribution, and release gate criteria.
• Define and enforce automated quality gates — regression benchmarks, performance thresholds, op-coverage checks — aligned with ORT, ExecuTorch, and LiteRT upstream cadences.
• Coordinate SDK artifact delivery with the QAIRT SDK release train and downstream ISV partners.

Test Automation & Quality

• Partner with delegate engineers to build automated functional, performance, and regression test suites covering op coverage, numerical accuracy, and latency.
• Develop dashboards and alerting for build health, test pass rates, and performance trends; integrate with JIRA for automated defect tracking and release readiness reporting.

Developer Experience & Collaboration

• Streamline inner-loop workflows: local build scripts, container images, pre-commit hooks, and environment bootstrapping that mirror CI behavior.
• Maintain CI runbooks and documentation for a globally distributed team; align all CI/build infrastructure with Qualcomm Corporate tooling standards.
• Coordinate with upstream open-source communities (ORT, ExecuTorch, LiteRT) to track breaking changes and contribute automation improvements back upstream.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field and 8+ years of software/DevOps/release engineering experience — OR — Master's degree and 6+ years.
• Expert-level Python and Bash scripting.
• Hands-on experience integrating an AI coding agent (Claude Code, GitHub Copilot, or Codex) into a CI or development workflow.
• Deep experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, TeamCity, or similar) and Git-based SCM workflows.
• Proven end-to-end ownership of build, release, and deployment pipelines in a multi-platform environment.
• Exposure to JIRA or equivalent for defect tracking and sprint-based triage.
• Effective communication skills (verbal, written, presentation).

Preferred Qualifications

• Experience with ML framework build systems — ONNX Runtime, ExecuTorch, or TFLite / LiteRT.
• C/C++ build and debugging proficiency (CMake, Bazel, or equivalent).
• Experience with Android NDK, cross-compilation and packaging / release logistics (Maven, Gradle, …)
• Experience with Windows CI/CD pipelines and Windows ARM64 build toolchains.
• Experience with Agile development environments.
• Working knowledge of DL