Software Engineer, AV Data Collection

Job Description

The AV Logging and Data Recording team within GMs Autonomous Vehicle Platform Core organization builds the embedded vehicle software that turns real-world driving into high-quality training data for autonomous driving.

Our systems collect the sensor vehicle and scenario data that AV teams use to improve perception prediction planning and other artificial intelligence 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.

As a Software Engineer on the AV Data Recording team you will help build embedded vehicle software that enables fleet-scale data collection for artificial intelligence development. Your work will support how GM autonomous vehicles capture meaningful real-world driving data validate its quality enforce privacy requirements and deliver it for model training evaluation debugging and continuous improvement.

You will work on software running on automotive edge platforms and collaborate closely with artificial intelligence backend embedded platform and system development engineering teams to turn real-world driving into high-quality data for autonomous driving development.

This is an early-career / new graduate role designed for candidates who have recently completed or will complete their Bachelors Masters or PhD degree before joining GM. You will be paired with experienced engineers to ramp up on AV software embedded systems real-time operating systems vehicle data pipelines and the production engineering practices required to support autonomous driving at fleet scale.

• Develop embedded vehicle software that collects high-value data for autonomous driving AI learning.
• Build components that capture filter validate package and offload vehicle and sensor data from the fleet.
• Improve data quality privacy enforcement reliability observability and performance across vehicle data collection workflows.
• Build embedded software that controls how high-value driving data is captured monitored and delivered from vehicle compute platforms.
• Debug complex issues across Linux and QNX-based vehicle software real-time data recording pipelines and backend integration points.
• Collaborate with AI backend embedded platform and system development engineering teams to ensure collected data meets autonomous driving development needs.
• Deliver reliable software through clear requirements code reviews automated testing CI issue tracking and incremental development.
• Learn and apply production engineering practices for performance testing regression prevention rollout readiness and operational support.

• Recently completed or currently pursuing a Bachelors Masters or Ph.D. degree in Computer Science Computer Engineering Electrical Engineering Robotics Artificial Intelligence Machine Learning or a related technical field. For completed degrees graduation must have occurred within the past nine months.
• Degree must be completed prior to joining GM.
• Strong software fundamentals including data structures algorithms operating systems computer architecture or distributed systems concepts.
• Solid coding ability in C Python or both demonstrated through coursework internships research or substantial projects.
• Experience developing in a Linux environment through class projects labs internships research or personal projects.
• Ability to debug complex software problems reason about system behavior and communicate clearly in a collaborative team environment.
• Interest in autonomous vehicles robotics embedded systems real-time operating systems data platforms artificial intelligence data pipelines or high-performance software.

• Experience with embedded Linux QNX automotive systems robotics platforms or edge compute devices.
• Exposure to C systems programming IPC messaging networking serialization or data pipelines.
• Experience with performance-sensitive real-time or resource-constrained software.
• Familiarity with logging telemetry observability data quality or data recording systems.
• Experience with build and test systems such as Bazel CMake GitHub Actions or similar tooling.
• Exposure to SQL cloud storage backend services or data processing workflows.
• Prior internship research or project experience in autonomous driving robotics embedded systems distributed systems AI/ML infrastructure or platform software.

• Sunnyvale CA
• 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.
• This job may be eligible for relocation benefits

• The salary range for this role: is $119250 to $153900. 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.

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.