Job Description
About the Role
We’re looking for a Senior Software Engineer to ensure one of the vehicle’s most visible and heavily used systems works reliably every time customers drive. You’ll own and improve the serviceability of our infotainment and vehicle computing platform, helping eliminate issues like blank screens, frozen interfaces, missing audio, and unreliable features. By turning customer and dealer feedback into lasting software improvements, you’ll directly improve the experience people have with their vehicles.
Your work will span display, audio, media, camera, and other everyday vehicle experiences, along with the diagnostic tools used to restore them. You’ll investigate complex issues, identify root causes, and make it easier for technicians and support teams to deliver the right fix. Working across software, field quality, dealer support, and engineering teams, you’ll shorten the path from customer problem to resolution while improving both current vehicles and future releases.
What You’ll Do
- Lead deep technical debugging of IVI/VCU issues seen in the field, including reproduction, log and trace analysis, and cross-team root-cause investigations.
- Devise reproducible bench setups, repositories, and automated test cases for field issues, and drive closure of testing omissions by extending coverage and driving closure with the quality team.
- Analyze warranty reports, diagnostic logs, and telemetry to identify systemic issues, patterns, and opportunities to improve reliability and serviceability.
- Design and implement diagnosability and serviceability features in the IVI/VCU stack (for example, structured logging, health monitoring, fault injection hooks, self-test and guided-diagnostics capabilities).
- Collaborate with dealer support, field quality, and internal tooling teams to improve workflows for technicians and support engineers, including enhancements to diagnostic UIs, troubleshooting flows, and repair guidance.
- Build and evolve automation and AI-assisted diagnostics for the VCU: correlating symptoms, DTCs, and warranty data to accelerate fault isolation and recommended fixes.
- Define and enforce engineering standards for observability, fault reporting, error handling, and debugability across the IVI/VCU software components.
- Partner with adjacent domain teams (connectivity, telematics, cloud, vehicle platform) to ensure serviceability requirements are reflected in interfaces, protocols, and integration contracts.
- Serve as a go-to technical expert for VCU serviceability, mentoring engineers on best practices for diagnosable system design and effective field-issue triage.
What You Bring
- 5+ years of software engineering experience in automotive or embedded systems, with significant time spent in infotainment/IVI or VCU development.
- Strong C++ skills in resource-constrained, real-time, or embedded environments; solid Python for tooling, data analysis, and automation around diagnostics and warranty data.
- Practical experience with automotive platforms and middleware (for example, Android Automotive OS, embedded Linux, QNX, AUTOSAR Adaptive, SOME/IP, DDS, or similar).
- Deep understanding of vehicle software integration and diagnostics: CAN, Automotive Ethernet, diagnostics protocols (for example, UDS), ECU communication patterns, and vehicle signal architectures.
- Demonstrated experience debugging complex, intermittent field issues end-to-end, including log/trace analysis, on-bench reproduction, and cross-team investigation.
- Experience shipping production software into vehicles within OEM release processes and automotive lifecycles.
- Proven ability to lead technically within a team — driving investigation plans, coordinating across stakeholders, and helping other engineers grow their debugging and serviceability skills.
Nice to Have
- Experience with dealer or technician diagnostic tools, service workflows, or field quality engineering.
- Experience with graphics/HMI stacks or IVI user flows, especially where they intersect with error handling, fault indication, or technician-facing modes.
- Familiarity with connectivity and telematics systems used for remote diagnostics and data collection.
- Exposure to OTA update systems, cybersecurity (ISO 21434), or SDV (software-defined vehicle) architectures and how they impact serviceability.
- Experience building data and automation pipelines for diagnostics and AI/ML-assisted troubleshooting (for example, fault classification, symptom clustering, recommendation systems).


GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.


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