Job Description

About Us

We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM’s Autonomous Vehicle (AV) organization, we’re combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality.

Our Mapping Engineering team is building national-scale mapping systems that power localization, planning, simulation, and autonomy. These systems require highly reliable, scalable, and performant backend infrastructure to ingest, transform, and serve map data across a wide range of autonomous vehicle workflows.

The Role

We are looking for a Senior Software Engineer with strong distributed systems experience to join our Mapping Engineering team.

In this role, you will design, build, and operate scalable backend systems and data pipelines that support critical mapping workflows. You will work closely with Staff and Principal engineers, product partners, and adjacent teams to deliver robust, production-quality systems that scale to national deployments.

This is a hands-on engineering role focused on system design, implementation, and operational excellence. While you will contribute to technical design and mentor junior engineers, broader cross-organizational technical leadership and roadmap ownership are primarily driven by Staff-level engineers.

What You’ll Do (Responsibilities)

• Design and implement scalable, reliable distributed backend systems to support mapping workflows at national scale.

• Build and evolve data pipelines and microservices for map ingestion, transformation, storage, and release.

• Own the design and implementation of well-scoped components or services within larger mapping systems.

• Collaborate with engineers across Mapping, Localization, Perception, Simulation, and Offboard teams to integrate systems and define clear interfaces.

• Ensure systems meet performance, reliability, and operational requirements, including monitoring, alerting, and on-call readiness.

• Participate in design reviews, code reviews, and technical discussions to uphold engineering quality and best practices.

• Mentor junior engineers through code reviews, design feedback, and day-to-day technical guidance.

• Debug and resolve production issues across services, data pipelines, and infrastructure.

Minimum Qualifications (Must-Have)

• 3+ years of experience designing, implementing, and operating distributed systems in production.

• Bachelors degree in related field or relevant work experience

• Strong proficiency in Python (optional C++, TypeScript), with solid system-level programming fundamentals.

• Strong proficiency in databases, data modeling, caching, and service-oriented architectures.

• Experience building and deploying services on major cloud platforms such as AWS, Google Cloud, or Azure.

• Experience with data orchestration pipelines or ETL systems (e.g., Airflow or similar).

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent industry experience.

• Ability to independently deliver well-scoped projects with high engineering quality and reliability.

Preferred Qualifications (Nice-to-Have)

• 5+ years of experience designing, implementing, and operating distributed systems in production.

• Experience with mapping, geospatial data, robotics, or autonomous systems.

• Familiarity with the autonomous vehicle software stack or safety-critical systems.

• Experience with CI/CD pipelines, cloud-native services, or large-scale deployments.

• Proficiency with Linux, containerization (Docker), or container orchestration (Kubernetes).

• Exposure to machine learning data pipelines or map labeling infrastructure.

Why Join Us

• Work on large-scale distributed systems that directly power autonomous vehicle capabilities.

• Collaborate closely with experienced Staff and Principal engineers on technically challenging problems.

• Gain exposure to national-scale data pipelines and real-world production systems.

• Be part of a mission-driven team shaping the future of autonomous transportation.

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 $144,700 to $261,300. 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.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

The selected candidate will be required to travel 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.