Principal ML Systems Engineer, Data Platform...

This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA or the Greater Seattle Area three times per week, at minimum [or other frequency dictated by the business if more than 3 days]., 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.

What You'll Do

• 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, Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

• 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

What Can Give You a Competitive Advantage (Preferred Qualifications)

• 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.

• The expected base compensation for this role is: $233,400 - $339,650. 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more., 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.

We 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., 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.