<div><p>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. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development.</p><p>We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines.</p><p>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.</p></div><br><br><h3>In this role, you will:</h3><ul><div><li><p>Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines</p></li><li><p>Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors</p></li><li><p>Improve the ML training pipelines supporting the autonomous behavior org</p></li></div></ul><h3>Qualifications</h3><ul><div><li><p>Bachelor’s degree in Computer Science or related field and 6+ years of industry experience</p></li><li><p>Experience optimizing large-scale distributed systems for cost and efficiency</p></li><li><p>Experience with AWS or similar providers</p></li><li><p>Proficiency with Python and familiarity with C++</p></li></div></ul><h3>Bonus Qualifications</h3><ul><div><li><p>Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective</p></li><li><p>Background in algorithmic optimization or performance investigation</p></li><li><p>Experience with Ray.io, particularly Ray Core and Ray Data</p></li></div></ul><br>

<p>Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on individual car ownership in urban areas.&nbsp;</p>

Software Engineer - Planner Frameworks Pipeline

<div><p>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. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development.</p><p>We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines.</p><p>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.</p></div><br /><br /><h3>In this role, you will:</h3><ul><div><li><p>Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines</p></li><li><p>Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors</p></li><li><p>Improve the ML training pipelines supporting the autonomous behavior org</p></li></div></ul><h3>Qualifications</h3><ul><div><li><p>Bachelor’s degree in Computer Science or related field and 6+ years of industry experience</p></li><li><p>Experience optimizing large-scale distributed systems for cost and efficiency</p></li><li><p>Experience with AWS or similar providers</p></li><li><p>Proficiency with Python and familiarity with C++</p></li></div></ul><h3>Bonus Qualifications</h3><ul><div><li><p>Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective</p></li><li><p>Background in algorithmic optimization or performance investigation</p></li><li><p>Experience with Ray.io, particularly Ray Core and Ray Data</p></li></div></ul><br />

Software Engineer - Planner Frameworks Pipeline

About the Job

About the Company

Zoox

Similar Jobs

Platform Engineer

Platform Engineer

Autonomy Release Engineer II

Autonomy Release Engineer II

Principal RL Engineer, E2E Autonomy

Principal RL Engineer, E2E Autonomy

Contract Student Worker Automation & Behavioral Science Engineer

Contract Student Worker Automation & Behavioral Science Engineer

Senior AI Infrastructure Engineer

Senior AI Infrastructure Engineer

Staff AI Systems Engineer

Staff AI Systems Engineer

Software Engineer, ML Platform (ML Training)

Software Engineer, ML Platform (ML Training)

Software Engineer, Onboard Integration

Software Engineer, Onboard Integration

Machine Learning Engineer - Behavior Models for Road Users

Machine Learning Engineer - Behavior Models for Road Users

Machine Learning Engineer

Machine Learning Engineer