Senior Software Engineer, Data Platform (Autonomous Vehicles)

GM•Austin, TX

18h•Hybrid

About The Position

General Motors is seeking a Senior Software Engineer to join its Autonomous Vehicles Data team. The role designs, develops, maintains, and deploys data platforms that support self-driving vehicle technology, including services used for autonomy model training, data mining, labeling, and replay. The engineer owns end-to-end technical projects and key technical decisions, helps shape the team’s strategic roadmap, and works with ML and Data Engineers to turn user needs into requirements and self-service capabilities. The role also supports operational excellence through service-level objectives and indicators, monitoring, incident response, and ongoing service optimization. The position is hybrid, with the selected candidate expected to report to a specific location at least three times a week or at another frequency set by their manager.

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field.
At least 5 years of experience building and supporting large-scale data platforms, including deploying high-performance services that support petabytes of weekly data serving.
Expert-level proficiency in Java, C++, Go, or Python, with a track record of designing and implementing robust distributed systems.
Experience deploying and managing services on at least one major public cloud provider: Azure, GCP, or AWS, using automation and observability to support operational excellence.
Experience optimizing services for cost efficiency, performance, and reliability.
Experience with multi-language hosted-services architecture and managing the full operational lifecycle of systems.

Nice To Haves

Experience implementing data processing frameworks such as Beam or Spark and serving layers optimized for high-throughput, low-latency delivery.
Passion for self-driving technology and its potential impact on the world.
Experience delivering petabyte-scale ingestion, processing, and serving architectures at 100+ petabytes.
Experience with SQL engines or queries.

Responsibilities

Own and improve deployment of Autonomy Data platform services used in AV model training, mining, labeling, and replay.
Champion operational excellence by defining and measuring SLOs and SLIs, and leading incident and support response.
Collaborate with ML and Data Engineering stakeholders, translate their needs and pain points into requirements, build self-service capabilities, and drive adoption.
Deliver end-to-end technical projects, own major technical decisions and tradeoffs, and contribute to the team’s strategic roadmap.
Participate in team planning, code reviews, and design discussions.
Conduct technical interviews, onboard new team members, and mentor junior engineers.
Optimize services for cost efficiency, performance, and reliability, and manage their operational lifecycle.

Benefits

Medical, dental, and vision benefit options.
Health Savings Account and Flexible Spending Accounts.
Retirement savings plan.
Sickness and accident benefits.
Life insurance.
Paid vacation and holidays.
Tuition assistance programs.
Employee assistance program.
GM vehicle discounts.
Other health and wellbeing benefits.
Incentive pay program with payouts based on company performance, job level, and individual performance.
Relocation benefits for candidates who qualify under company policy.