General Motors
Software Engineer, AV Logging and Observability
$128K–$189K
Sunnyvale, California, United States of America +2 · Hybrid · Full-time · Posted Oct 7, 2026
- Location
- Sunnyvale, California, United States of America
Remote - Washington
Warren, Michigan, United States of America - Experience
- Experience delivering production-quality Python software, data workflows, or reliability projects; no years specified.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
- Visa sponsorship
- The position requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
About the job
Build and operate Python software and data systems that reliably capture, process, and deliver fleet vehicle and sensor data for autonomous-driving development.
What you'll do
- Lead initiatives to improve reliability and observability of vehicle-to-cloud recording and telemetry workflows.
- Develop software and operational tools for data processing, validation, metrics, monitoring, and reliability automation.
- Apply AI and LLMs to issue triage, failure classification, root-cause investigation, and engineering workflow automation.
What they ask for
- Bachelor’s degree in a related technical field, or equivalent practical experience.
- Experience delivering production-quality Python software, data workflows, or reliability projects with limited guidance.
- Experience with embedded SW, Robotics, Automotive, or a similar tech stack.
- Strong software fundamentals and experience debugging complex distributed, cloud, and data-integration issues.
Nice to have
- Experience with Kubernetes, Google Cloud services, BigQuery, cloud storage, or distributed data-processing systems.
- Experience applying AI or LLMs to incident triage, workflow automation, or engineering productivity.
Pay
$128,000 to $189,100 USD base salary
Tools
Python, Kubernetes, Google Cloud services, BigQuery, C++, SQL
AI focus
Apply AI and LLMs to triage, telemetry analysis, issue and failure classification, root-cause investigation, knowledge retrieval, and engineering automation.
Model-written summary · the original posting is authoritative