Senior/Staff Software Engineer - Planner Frameworks Pipeline
Build and optimize large-scale simulation and ML training pipelines on Ray and Kubernetes to validate autonomous vehicle behavior. Requires 8+ years experience and strong distributed systems background.
Responsibilities
- Improve the cost efficiency, reliability, and performance of validation and simulation pipelines
- Create production-grade APIs, SDKs, and tools to enable varied validations of autonomous behaviors
- Improve the ML training pipelines supporting the autonomous behavior organization
Requirements
- Bachelor’s degree in Computer Science or related field
- 8+ years of industry experience
- Experience optimizing large-scale distributed systems for cost and efficiency
- Experience with AWS or similar cloud providers
- Proficiency with Python and familiarity with C++
Nice-to-Haves
- Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective
- Background in algorithmic optimization or performance investigation
- Experience with Ray.io, particularly Ray Core and Ray Data
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