Software Engineer - Planner Frameworks Pipeline
TLDR
Contribute to the reliability and efficiency of large-scale validation and simulation pipelines for autonomous vehicle behavior using data-intensive workloads.
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
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++
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
Zoox is building a fully autonomous vehicle fleet from the ground up, coupled with the ecosystem necessary to launch this technology into urban environments. By integrating robotics, machine learning, and innovative design, Zoox is paving the way for a new era of mobility-as-a-service.
- Founded
- Founded 2014
- Employees
- 500+ employees
- Industry
- Automotive
- Total raised
- $990M raised