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General Motors Logo General Motors · IT - Software Development

Principal ML Systems Engineer, Data Platform (Autonomous Vehicles)

United States, Austin Employment contract 233400.00 - 339650.00 USD / Year · Job Posted May 28, 2026
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Job Description

We are seeking a highly skilled and experienced Principal ML Systems Engineer to join our Autonomous Vehicles team. In this role, you will own and to end data platform architecture across multiple teams, and play a critical part in designing, developing, and maintaining the robust data platforms essential for the development and deployment of self-driving car technology.

Job Responsibility

  • 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

  • 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

Nice to have

  • Master’s degree in Computer Science, Software Engineering, or related field
  • Building and optimizing large-scale cloud-native data platforms using GCP or similar cloud technologies
  • Experience in self-driving, autonomous vehicle, ADAS, or connected vehicle data domains
  • Ability to work cross-functionally with Data Science, ML, analytics, and product stakeholders to deliver production-ready data products
  • Familiarity with robustness, validation, and simulation for ML systems used in autonomous driving contexts

What we offer

  • Relocation benefits
  • Company vehicle evaluation program
  • 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
  • bonus potential
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