Software Engineer, AV Logging and Observability

General Motors

. Own project-level initiatives improving vehicle-to-cloud data recording and telemetry workflows .

Posted 10/7/2026full-timeUnited StatesMid-LevelSenior💰 $128,000 - $189,100 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudDistributed SystemsKubernetesPythonSQLC++

About the role

Key responsibilities & impact

Own project-level initiatives improving vehicle-to-cloud data recording and telemetry workflows
Develop Python software for telemetry processing, data validation, metrics, reliability automation, and operational tooling
Build components to 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 LLMs to issue discovery, failure classification, root-cause analysis, knowledge retrieval, and workflow automation
Collaborate across cloud, backend, data engineering, fleet operations, and downstream teams
Improve performance, scalability, observability, privacy, availability, and cloud cost
Deliver software through 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

Requirements

What you’ll need

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 software, 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 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 across engineering teams and organizations
U.S. Person status required: U.S. citizen, U.S. permanent resident, asylee, or refugee
Position subject to export control restrictions
Preferred: experience with Python services, cloud applications, data-processing workflows, reliability automation, Kubernetes, Google Cloud, BigQuery, cloud storage, backend services, distributed data processing, C++, APIs, messaging, networking, serialization, SQL, AI/LLMs, incident response, fleet deployment, mentoring, autonomous driving, distributed systems, data infrastructure, AI/ML infrastructure, platform software, or production operations

Benefits

Comp & perks

Bonus potential based on company, job level, and individual performance
Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Relocation benefits for qualifying candidates