Senior Software Engineer, Autonomous Simulation Pipelines

Zoox; California (MO); On-site; USD 177,000 - 270,000; Full time

Benefits offered by this job

Zoox Stock Appreciation Rights

Amazon RSUs

Health insurance

Paid time off

Job summary

Zoox is seeking an experienced software engineer to own large-scale simulation pipelines used to validate autonomous driving behavior. The role is data- and GPU-intensive, built on Ray.io and Kubernetes, with emphasis on reliability and efficiency to enable rapid autonomy development iterations.

You’ll join a small, scrappy team within the Autonomy organization, collaborating with on-vehicle algorithm teams while staying close to end users.

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++.

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

Skills

Distributed systems

Python

C++

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Ray Core

Ray Data

Job description

Zoox is seeking an experienced software engineer to own large-scale simulation pipelines used to validate autonomous driving behavior. The role is data- and GPU-intensive, built on Ray.io and Kubernetes, with emphasis on reliability and efficiency to enable rapid autonomy development iterations.

You’ll join a small, scrappy team within the Autonomy organization, collaborating with on-vehicle algorithm teams while staying close to end users.