Description About the Role The Smart Collect team builds the platform that determines what vehicle data to collect, validates collection configurations, deploys them across fleets, and monitors the resulting data from vehicle to cloud. We are seeking a Senior Software Engineer to develop the services, integrations, automation, and end-to-end observability that power this platform. Scaling high-quality data collection is essential to enabling autonomous and eyes-off driving. Your work will ensure that data flows reliably from vehicles into our AI/ML and analytics platforms, with strong guarantees around quality, traceability, privacy, and operational excellence. You will collaborate with AI research, data engineering, vehicle engineering, data science, product, data quality, and operations teams to deliver dependable services and intuitive tools that scale across General Motors programs.
What You'll Do - Design and develop APIs, domain services, event-driven workflows, and vehicle-recording metadata pipelines.
- Build services and user experiences for defining collection events and triggers, selecting data, generating and validating configurations, deploying campaigns, and monitoring results.
- Design version-aware workflows that reconcile signals, schemas, hardware capabilities, and software compatibility across vehicle platforms.
- Improve visibility into campaign health, fleet coverage, recording volume, ingestion latency, and data quality.
- Lead technical design and deliver cross-team initiatives involving vehicle recording, fleet management, data platforms, autonomy, privacy, product, and program teams.
- Raise the engineering bar through architecture reviews, automated testing, code reviews, technical mentorship, and production support.
Your Skills & Abilities (Required Qualifications) - 7+ years of professional software engineering experience, including ownership of production systems.
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a related discipline, or equivalent practical experience.
- Proficiency in Python or another modern backend programming language.
- Strong experience designing scalable backend services, APIs, and relational data models.
- Experience with event-driven architectures, asynchronous workflows, data ingestion, testing, debugging, and production operations.
- Ability to communicate technical decisions and lead work across organizational boundaries.
What Will Give You a Competitive Edge (Preferred Qualifications) - Experience with PostgreSQL, Kubernetes, Google Cloud (including BigQuery and Pub/Sub), Kafka, observability platforms, or data-quality systems.
- Experience with FastAPI, React, or TypeScript.
- Experience in autonomous vehicles, robotics, automotive software, embedded systems, or other safety-critical domains.
- Familiarity with sensor data, vehicle data collection, fleet management, deployment control planes, or software-version compatibility.
- Experience addressing privacy, data governance, resource constraints, or multi-environment deployments.
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
- Compensation: The expected base compensation for this role is : $170,600 - $261,300 Actual base compensation within the identified 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
#GM-AV-1 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 {or other frequency dictated by their manager}.
The selected candidate will be required to travel < 25% for this role.
Relocation benefits are available for candidates who qualify under company policy.
About GMOur 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 UsWe 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.
Total Rewards | Benefits OverviewFrom 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.
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