Staff SSIT Engineer: Subsystem Validation Lead

Qualcomm

San Diego (CA)

On-site

USD 158,400 - 237,600

Full time

14 days+

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Benefits offered by this job

Competitive annual bonus
RSU grants
Benefits package

Job summary

Qualcomm Technologies, Inc. in San Diego seeks a Staff Software Engineer for SSIT coverage of ONNX Runtime QNN-EP, ExecuTorch, and TFLite LiteRT. You will define test strategy at feature inception and embed testability in design.

You will develop automated tests, validate on Snapdragon hardware, and drive root-cause analysis. The role combines hands-on testing with collaboration across ML and system teams, contributing to rapid, reliable feature delivery.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field with 4+ years experience.
  • Experience building automated test frameworks.
  • Proficient in C/C++ for debugging at source level.
  • Experience with ML inference frameworks.
  • Familiarity with on-device validation (Snapdragon).

Responsibilities

  • Set SSIT quality strategy and test architecture for the full Delegates portfolio.
  • Co-owns feature quality from day one alongside development engineers.
  • Primary technical bridge between the Delegates development team and downstream QA/SIT.
  • Mentor SSIT engineers; establish norms for test coverage and handoff.
  • Collaborate with CI/Build/Release engineers to embed SSIT automation.

Skills

Python
C/C++
Test automation
CI/CD
Linux
On-device validation

Education

Bachelor's degree in CS

Tools

PyTest
GitHub Actions
Jenkins

Job description

Qualcomm Technologies, Inc. in San Diego seeks a Staff Software Engineer for SSIT coverage of ONNX Runtime QNN-EP, ExecuTorch, and TFLite LiteRT. You will define test strategy at feature inception and embed testability in design.

You will develop automated tests, validate on Snapdragon hardware, and drive root-cause analysis. The role combines hands-on testing with collaboration across ML and system teams, contributing to rapid, reliable feature delivery.

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