Software Engineer - Planner Frameworks Pipeline

In this role, you will:

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Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines

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Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors

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Improve the ML training pipelines supporting the autonomous behavior org

Qualifications

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Bachelor’s degree in Computer Science or related field and 6+ years of industry experience

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Experience optimizing large-scale distributed systems for cost and efficiency

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Experience with AWS or similar providers

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Proficiency with Python and familiarity with C++

Bonus Qualifications

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Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective

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Background in algorithmic optimization or performance investigation

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Experience with Ray.io, particularly Ray Core and Ray Data