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About the role
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
Skills
PythonC++AWSRay.IoRay CoreRay DataKubernetesDistributed SystemsMachine LearningMl Training Pipelines
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