Software Engineer - Planner Frameworks Pipeline
Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.
Responsibilities
- Improve the cost efficiency, reliability, and performance of validation and simulation pipelines
- Create production-grade APIs, SDKs, and tools to enable validations of autonomous behaviors
- Improve ML training pipelines supporting the autonomous behavior org
Qualifications
- Bachelor’s degree in Computer Science or related field and 6+ years of industry experience
- Experience optimizing large-scale distributed systems for cost and efficiency
- Experience with AWS or similar providers
- Proficiency with Python and familiarity with C++
Bonus Qualifications
- 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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