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.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.

Software Engineer, AV Data Collection