General Motors

Staff Data Engineer, AI & Robotics

General Motors • $120K — $150K *
Warren, MI 48089Hybrid
Information Technology
8 - 10 years of experience
6 days ago
Job Overview by Ladders

Qualifications

  • B.S. or M.S. in Computer Science, Computer Engineering, Data Engineering, or related field.
  • 8+ years of experience in production data systems and/or ML infrastructure with end-to-end training pipeline support.
  • Strong proficiency in Python and one of C++, Scala, or Java.
  • Demonstrated engineering discipline in testing, documentation, system design, and operational reliability.
  • Experience with dataset versioning and reproducibility tooling like DVC or similar.
  • Experience with experiment tracking and model registry patterns like MLflow or equivalents.
  • Ability to design systems for multiple stakeholders and influence broader architectural decisions.

Responsibilities

  • Define and drive the technical vision for multimodal robotics data infrastructure.
  • Architect and scale reliable data capture, ingestion, and serving pipelines for robot learning.
  • Establish reproducible data logging and replay frameworks for debugging and dataset creation.
  • Own strategy for dataset lifecycle management supporting trustworthy model training and evaluation.
  • Lead integration of experiment tracking and data traceability for reproducibility and understanding of changes.
  • Design MLOps automation patterns to enhance deployment confidence for robotics AI updates.
  • Partner with teams to define data contracts and convert field failures into curated training datasets.

Benefits

  • Well-being support from day one, both at work and home.
  • Total Rewards resources available for career development and personal growth.
Full Job Description
Job Description

The Staff Data Engineer, AI and Robotics will join the AI Research team within the Autonomous Robotics Center (ARC). This role sets the technical direction for 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, while establishing the infrastructure standards and operating patterns that accelerate robotics AI across programs.

This is a senior technical leadership role in robotics and machine learning infrastructure, focused on multimodal robotic datasets and continuous model iteration. You will work across AI research, robotics engineering, manufacturing, and validation teams to turn real-world robot behavior and failures into high-quality training data, robust production systems, and durable platform capabilities used broadly across the organization.
What You'll Do
  • Define and drive the technical vision for multimodal robotics data infrastructure spanning vision, depth, force/torque, joint states, events, and metadata across lab and plant-adjacent environments.
  • Architect and scale reliable data capture, ingestion, and serving pipelines that support robot learning workflows from experimentation through production deployment.
  • Establish reproducible data logging and replay frameworks, including ROS 2 bagging where applicable, to enable debugging, regression testing, root-cause analysis, and dataset creation at scale.
  • Own the strategy for dataset lifecycle management, including versioning, lineage, provenance, governance, retention, and quality gates, to support trustworthy model training and evaluation.
  • Lead the integration of experiment tracking, model/data traceability, and auditability patterns so teams can compare runs, reproduce results, and understand system changes over time.
  • Design and implement MLOps automation patterns, including CI/CD/CT-style pipelines for ML systems, that reduce manual effort and improve deployment confidence for robotics AI updates.
  • Partner with AI/ML, planning, validation, and plant teams to define data contracts such as schemas, labeling standards, and failure taxonomies, and convert field failures into curated training datasets and measurable learning loops.
  • Influence architecture across adjacent systems and mentor engineers on best practices in data engineering, ML infrastructure, observability, and production reliability.
  • Drive cross-functional technical decisions, balancing research velocity with platform robustness, governance, and long-term maintainability.
What You'll Need (Required Qualifications)
  • B.S. or M.S. in Computer Science, Computer Engineering, Data Engineering, or a related field.
  • 8+ years of experience building production data systems and/or ML infrastructure, including 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, system design, and operational reliability.
  • Experience with dataset versioning, lineage, and reproducibility tooling such as DVC or equivalent approaches.
  • Experience with experiment tracking and model registry patterns such as MLflow or equivalent tools.
  • Experience designing technical systems that support multiple stakeholders and use cases, with the ability to influence architecture beyond an individual project.
  • Ability to work onsite with hardware and robotics teams, and to design pipelines that handle real-world robotic logging constraints such as bandwidth limits, dropped frames, and timing drift.
What Will Give You a Competitive Edge (Preferred Qualifications)
  • Hands-on robotics logging and replay experience, including ROS 2 bags and 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.
  • Experience serving as a technical lead, setting engineering standards, and mentoring senior or mid-level engineers across complex initiatives.


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.

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

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General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

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At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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