Senior Test Engineer: Automotive Diagnostics

General Motors; Warren, Northern (MI, KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

General Motors is seeking a Senior Software Test Engineer to join the Diagnostics Software and Wired Programming Integration team in Warren, MI. This hybrid role focuses on validating DPS, SPS/SPS2, VWP, and vehicle communication workflows across bench and vehicle environments.

You will drive test plans, analyze logs, and investigate complex failures, applying automation strategies to improve release readiness and reduce issues in diagnostic and programming flows.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 5+ years in software validation or test engineering.
• Hands-on validation in automotive diagnostics or vehicle comms.

Responsibilities

• Lead validation for diagnostic programming and vehicle communication workflows.
• Develop and execute test plans, cases, and procedures for software functionality and performance.
• Investigate failures via root-cause analysis and trace data.
• Validate new software releases and fixes, including regression testing.
• Analyze logs and traces to support root-cause analysis.
• Support bench, hardware-in-the-loop validation as required.
• Collaborate with cross-functional teams to ensure release readiness.
• Create and maintain validation documentation and reports.

Skills

Software validation

Automotive diagnostics

Vehicle communications

Root-cause analysis

Programming (Python/C/C++/Java)

Test automation

Diagnostics tools experience

Education

Bachelor's degree in Electrical Engineering / Software Systems / CS

Tools

Wireshark

CAN loggers

Lauterbach debuggers

CANoe / CANalyzer

Job description

General Motors is seeking a Senior Software Test Engineer to join the Diagnostics Software and Wired Programming Integration team in Warren, MI. This hybrid role focuses on validating DPS, SPS/SPS2, VWP, and vehicle communication workflows across bench and vehicle environments.

You will drive test plans, analyze logs, and investigate complex failures, applying automation strategies to improve release readiness and reduce issues in diagnostic and programming flows.