Uber
Staff Software Engineer - ML Infra
$232K–$258K
Sunnyvale, California · Staff · Full-time · Posted Sep 30, 2026
- Experience
- Minimum 6 years of working experience.
- Education
- Bachelor’s degree in Computer Science or related fields.
About the job
Develop scalable ML infrastructure and customized solutions for autonomous-vehicle use cases, including GPU efficiency and coordination across infrastructure and AV teams.
What you'll do
- Work with Uber’s ML platform to design customized solutions for AV use cases.
- Design and implement scalable infrastructure across multiple regions and cloud providers.
- Align stakeholders across Uber infrastructure and AV Labs teams, and drive GPU efficiency efforts.
What they ask for
- Proven experience executing technical projects from conception to production.
- Bachelor’s degree in Computer Science or a related field.
- Familiarity with GPU technologies, including CUDA, TensorRT, and GPU optimizations.
- Familiarity with Kubernetes, Flyte or Airflow, and Ray.
Nice to have
- Master’s or PhD degree in Computer Science or a related field.
- Background in ML Platform teams at large companies.
Pay
USD $232,000 per year - USD $258,000 per year (base salary)
Tools
CUDA, TensorRT, Kubernetes, Flyte, Airflow, Ray
AI focus
Build ML infrastructure and customized solutions supporting self-driving stacks and autonomous-vehicle use cases.
Model-written summary · the original posting is authoritative