Senior Software Engineer, Mapping

Job Description About Us Weu2019re on a mission to build the worldu2019s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GMu2019s Autonomous Vehicle (AV) organization, weu2019re 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 Youu2019ll 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. 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 This job may be eligible for relocation benefits. 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 u2013 individually and collectively u2013 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-beingu2013at work and at homeu2013so you can focus on realizing your ambitions. 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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. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations ( We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GMu2019s Talent Community () (. As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. 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Created: 2026-02-23