Senior/Staff Software Engineer - Planner Frameworks Pipeline

Job description

This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred.

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes.

Job responsibilities

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

Job requirements

Bachelor’s degree in Computer Science or related field and 8+ 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++
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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Senior/Staff Software Engineer - Planner Frameworks Pipeline

Job description

Job responsibilities

Job requirements

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