Software Engineer, AV Logging and Observability

General Motors; Sunnyvale (CA); Hybrid; USD 128,000 - 189,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Tuition assistance

Job summary

General Motors is seeking an embedded-focused software engineer to own fleet-scale vehicle data recording and telemetry pipelines. You will develop Python services across cloud and backend platforms to ensure data is captured, transferred, and made usable for autonomous vehicle development.

You will define architecture, lead reviews, resolve complex integration issues, and apply AI/LLMs to triage, classification, root-cause analysis, and automation.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or related technical field.
• 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.

Responsibilities

• 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.

Skills

Python programming

Data pipelines

Distributed systems

Cloud services

Telemetry processing

Debugging complex software

Education

Bachelor’s degree in CS/CE/EE/Robotics/AI/ML

Tools

Kubernetes

Google Cloud

BigQuery

Cloud storage

Job description

Job Description

The AV Runtime team within GM’s 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.

About The Role

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 organizations—including cloud platform, backend, systems engineering, fleet operations, data engineering, and downstream consumers—to deliver reliable, diagnosable, and scalable fleet data capabilities.

What You’ll Do

• 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.

Basic Qualifications

• Bachelor’s 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.

Preferred Qualifications

• 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.

Compensation

• The salary range for this role is 128,000 to 189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

If selected out of Washington, in the future you will need to go to office in Seattle, WA.

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. The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

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, we're looking out for your well-being–at work and at home–so 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

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