Software Engineer, AV Data Collection

General Motors; United States; Hybrid; USD 119,000 - 154,000; Full time

Benefits offered by this job

Relocation benefits

Hybrid work model

Job summary

General Motors in Sunnyvale, CA, is seeking a Software Engineer to join the AV Data Recording team. You will develop embedded vehicle software to enable fleet-scale data collection for AI development, focusing on data quality, privacy, and reliable delivery to model training and evaluation.

You’ll collaborate with AI, backend, embedded platform, and systems teams, work on Linux and QNX environments, and participate in production engineering practices, CI, testing, and incremental delivery.

Qualifications

• Recently completed or pursuing a degree in a technical field with graduation within nine months.
• Strong fundamentals in data structures, algorithms, OS, or distributed systems.
• Solid coding in C++ and/or Python demonstrated through projects or internships.
• Experience developing in Linux environments and debugging complex software.
• Interest in autonomous vehicles, embedded systems, or AI data pipelines.

Responsibilities

• Develop embedded vehicle software that collects high‑value data for AI learning.
• Build components to capture, filter, validate, package, and offload data from the fleet.
• Improve data quality, privacy enforcement, reliability, and observability across workflows.
• Deliver software from vehicle compute platforms to data pipelines and backend systems.
• Debug issues across Linux/QNX, real‑time pipelines, and integration points.
• Collaborate with AI, backend, and embedded teams to meet AV data needs.
• Follow production engineering practices including testing, reviews, and CI.

Skills

C++

Python

Linux

Debugging

Distributed systems

Education

Bachelor's in CS/CE/EE/Robotics

Master's or PhD in related field

Tools

Bazel

CMake

GitHub Actions

Job description

Job Description

About the Team

The AV Logging and Data Recording team within GM’s 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.

About the Role

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 Bachelor’s, Master’s, 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.

What You’ll Be Doing

• 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.

Basic Qualifications

• Recently completed, or currently pursuing, a Bachelor’s, Master’s, 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.

Preferred Qualifications

• 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.

Location: 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.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role: is $119,250 to $153,900. 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, 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.

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 us at 1-800-865-7580. In 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.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).