General Motors
Senior Software Engineer, Data Platform (Autonomous Vehicles)
$153K–$269K
Austin, Texas, United States of America +1 · Remote/Hybrid · Senior · Full-time · Posted Oct 15, 2026
- Location
- Austin, Texas, United States of America
Mountain View, California, United States of America - Experience
- 5+ years in building and supporting large-scale data platforms.
- Education
- BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role, now or in the future.
About the job
Build and operate large-scale data platform services that support autonomous-vehicle model training, data mining, labeling, and replay.
What you'll do
- Own and improve deployment of autonomy data platform services, and lead operational excellence through SLO/SLI measurement and incident response.
- Translate stakeholder needs into platform requirements, build self-service capabilities, and deliver end-to-end technical projects.
- Contribute to planning, code reviews, design discussions, interviews, onboarding, and mentoring.
What they ask for
- BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field.
- 5+ years building and supporting large-scale data platforms, including high-performance services serving petabytes of weekly data.
- Expert-level proficiency in Java, C++, Go, or Python, with experience designing and implementing distributed systems.
- Experience managing services on at least one major public cloud provider (Azure, GCP, or AWS), and optimizing service cost, performance, and reliability.
Nice to have
- Experience implementing Beam or Spark data processing frameworks and high-throughput, low-latency serving layers.
- Experience with 100+ petabyte-scale architectures or SQL engines/queries; interest in self-driving technology.
Pay
$153,200 - $269,200 USD base salary
Tools
Java, C++, Go, Python, Azure, GCP, AWS, Beam
AI focus
Supports autonomous-vehicle model training, mining, labeling, and replay; no direct AI model development is specified.
Model-written summary · the original posting is authoritative