General Motors
Job Description
We’re looking for a Senior Software Engineer to own and advance serviceability for our in-vehicle infotainment (IVI) and Vehicle Compute Unit (VCU) platform. You will focus on dealership support and field quality: debugging complex VCU issues, driving technical root cause from warranty and diagnostic data, and implementing features that make the platform easier to diagnose, repair, and support.
You’ll work hands-on in the infotainment/VCU software stack — from platform middleware and diagnostics frameworks to dealer-facing workflows and backend automation — while partnering closely with vehicle platform teams, field quality, and dealer support organizations.
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.
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.
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).
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
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Benefits Overview
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