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Principal ML Systems Engineer, Data Platform – Autonomous Vehicles
General MotorsPrincipal ML Systems Engineer designing and developing distributed ML data platforms for autonomous vehicle technology. Collaborating with teams to drive robust data solutions and self-driving tech advancements.
Posted 5/27/2026full-timeAustin • Texas, Washington • 🇺🇸 United StatesLead💰 $233,400 - $339,650 per yearWebsite
Tech Stack
Tools & technologiesCloudDistributed SystemsGoogle Cloud PlatformJavaPythonSparkSQL
About the role
Key responsibilities & impact- Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks.
- Leading the strategy of building performant and efficient multi-cloud platforms
- Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption
- Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap.
- Champion engineering & operational excellence by continuously improving systems and processes
- Actively participate in team’s planning, code reviews and design discussions
- Conduct technical interviews, onboard new and mentor junior engineers
Requirements
What you’ll need- BA or MS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field
- 10+ years in building distributed data platforms using major cloud providers and open-source frameworks
- Expert-level proficiency in Java, C++, or Python, with a proven track record of designing and implementing robust, distributed systems.
- Expertise in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery.
- Experience optimizing services for cost efficiency, performance & reliability
- Experience with Micro services architecture and proven ability to manage the full operational lifecycle of systems.
- Deep understanding of full ML model lifecycle (feature engineering, training, validation, deployment, monitoring, etc.)
- Strong passion, and understanding about self-driving technology and its potential impact on the world
- Experience working with (100+) petabyte-scale ingestion, processing, and serving architectures.
- Experience with SQL engines / queries.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaC++PythonData Processing FrameworksBeamSparkMicroservices architectureSQLDistributed systemsML model lifecycle
Soft Skills
LeadershipCollaborationMentoringStrategic thinkingCommunicationProblem-solvingTechnical decision-makingOperational excellencePlanningCode review