About this role
In this role, you will:
- Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines
- Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors
- Improve the 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