Software Engineer, AV Logging and Observability

Job Description

The AV Runtime team within GMs Autonomous Vehicle Platform Core organization builds software and data systems that turn real-world driving into high-quality training and evaluation data for autonomous driving.

Our systems collect sensor vehicle and scenario data used by teams developing perception prediction planning and other autonomous-driving capabilities. We focus on capturing the right data from the fleet preserving privacy maintaining data quality and reliably moving vehicle data into the AI development pipeline.

We build the software that helps autonomous vehicles learn from the real world.

You will own projects and technical workstreams that improve the reliability observability and operability of fleet-scale vehicle data recording and delivery. You will build Python software across cloud backend and data platforms so high-value vehicle and sensor data is captured transferred processed and made usable for autonomous vehicle development.

You will refine requirements define architecture and execution plans lead design reviews and reliability investigations resolve non-routine integration issues and deliver production-ready solutions that improve service health data quality reliability performance privacy and operational readiness. You will connect vehicle symptoms to cloud behavior identify systemic failure patterns drive cross-team corrective actions and apply AI and LLMs to triage telemetry analysis issue classification root-cause investigation and engineering automation.

You will work across Python services telemetry pipelines cloud infrastructure backend services data storage monitoring metrics and reliability workflows. You will collaborate across partner organizationsincluding cloud platform backend systems engineering fleet operations data engineering and downstream consumersto deliver reliable diagnosable and scalable fleet data capabilities.

• Own project-level initiatives that improve the reliability of vehicle-to-cloud data recording and telemetry workflows.

• Develop Python software for telemetry processing data validation metrics reliability automation and operational tooling.

• Build components that capture filter validate package store and deliver vehicle and sensor data.

• Define data-quality checks metric semantics dashboards service-level indicators and operational health measures.

• Debug complex issues across data pipelines cloud ingestion storage distributed processing monitoring systems and backend integrations.

• Apply AI and large language models (LLMs) to accelerate issue discovery failure classification root-cause analysis knowledge retrieval and workflow automation.

• Collaborate across cloud backend data engineering fleet operations and downstream teams to align interfaces metrics ownership and operating expectations.

• Improve performance scalability observability privacy availability and cloud cost across data workflows.

• Deliver reliable software through clear requirements design reviews code reviews automated testing CI staged rollout monitoring and incident response.

• Mentor engineers and contribute to reusable patterns documentation tooling and continuous engineering improvement.

• Bachelors degree in Computer Science Computer Engineering Electrical Engineering Robotics Artificial Intelligence Machine Learning or 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 fundamentals in data structures algorithms operating systems distributed systems networking and software design.

• Strong Python coding ability including writing maintainable testable observable and performance-conscious software.

• Experience with telemetry processing data pipelines cloud services backend integrations monitoring or reliability automation.

• Ability to debug complex software cloud distributed-system and data-integration issues and drive root-cause resolution.

• Experience owning technical requirements plans milestones risks and delivery for a project feature area or workstream.

• Ability to communicate technical tradeoffs clearly and collaborate effectively across engineering teams and organizations.

• Experience building Python services cloud applications data-processing workflows or reliability automation.

• Experience designing or operating cloud distributed architectures using Kubernetes Google Cloud services BigQuery cloud storage backend services or distributed data-processing systems.

• Exposure to C systems programming IPC messaging networking serialization or data pipelines.

• Experience with cloud platforms Kubernetes container orchestration cloud storage backend services or distributed data processing.

• Experience with telemetry logging observability data quality metrics dashboards or fleet-data recording systems.

• Experience with APIs messaging networking serialization storage SQL data contracts or event-driven workflows.

• Experience applying AI or LLMs data analysis incident triage workflow automation or engineering productivity.

• Experience with fleet deployment release monitoring incident response root-cause analysis service-level indicators or operational readiness.

• Experience mentoring engineers leading design reviews or driving cross-team and cross-organization technical initiatives.

• Prior experience in autonomous driving distributed systems data infrastructure AI/ML infrastructure platform software or production operations.

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.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.