General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.

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Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees

General Motors

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**Job Description**

**The Role**

The Senior Data Engineer, AI and Robotics will join the AI Research team within the Autonomous Robotics Center (ARC). This role owns the robotics data backbone that enables scalable robot learning in manufacturing — from data capture and curation through versioning, serving, and auditing. Your work will make model development reproducible, testable, and production-ready.

This is a robotics and machine learning (ML) infrastructure role, focused on multimodal robotic datasets and continuous model iteration. You will partner closely with AI researchers, robotics engineers, and plant teams to turn real-world robot behavior and failures into high-quality training data and robust production systems.

**What You’ll Do**

- Build and operate multimodal data pipelines for robotics (e.g., vision, depth, force/torque, joint states, events, metadata), including reliable capture from lab and plant-adjacent cells.

- Implement reproducible data logging and replay workflows (including ROS 2 bagging where applicable) to enable debugging, regression testing, and dataset construction.

- Own dataset lifecycle management, including versioning and lineage, provenance, governance, and data quality gates to support trustworthy model training and evaluation.

- Integrate experiment tracking and model/data traceability so teams can compare runs, reproduce results, and audit changes over time.

- Establish MLOps automation patterns (CI/CD/CT-style pipelines for ML) that reduce manual toil and increase deployment confidence for robotics AI updates.

- Partner with AI/ML, planning, and validation teams to define data contracts (schemas, labeling standards, failure taxonomies) and turn field failures into curated training datasets.

**What You’ll Need (Required Qualifications)**

- B.S. or M.S. in Computer Science, Computer Engineering, Data Engineering, or a related field.

- 6+ years of experience building production data systems and/or ML infrastructure, with practical experience supporting training pipelines end-to-end.

- Strong proficiency in Python and at least one of: C++, Scala, or Java.

- Demonstrated engineering discipline in testing, documentation, and operational reliability.

- Experience with dataset versioning, lineage, and reproducibility tooling (e.g., DVC or equivalent approaches).

- Experience with experiment tracking and model registry patterns (e.g., MLflow or equivalent tools).

- Ability to work onsite with hardware and robotics teams, and to design pipelines that handle real-world robotic logging constraints (e.g., bandwidth limits, dropped frames, timing drift).

**What Will Give You a Competitive Edge (Preferred Qualifications)**

- Hands-on robotics logging and replay experience (e.g., ROS 2 bags, system telemetry pipelines).

- Experience with simulation-to-real data workflows and dataset synthesis strategies.

- Familiarity with data governance requirements and auditability in safety-adjacent or safety-critical systems.

- Experience building tools to support data labeling workflows, quality assurance, and active learning loops.

**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**

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.

Senior Data Engineer, AI&Robotics

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