Software Engineer - Planner Frameworks Pipeline (Autonomous Vehicles)

Location: Foster City, California or San Francisco, California, United States. Workplace: Hybrid

Company

Zoox develops self-driving vehicles and the autonomy software used to validate their behavior.

What you will do

• Improve the cost efficiency, reliability, and performance of large-scale validation and simulation pipelines.
• Create production-grade APIs, SDKs, and tools for validating autonomous behaviors.
• Improve ML training pipelines supporting the autonomous behavior organization.
• Contribute to framework architecture, reliability, efficiency, and support for new use cases.
• Collaborate with engineers developing on-vehicle autonomy algorithms and models.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 6+ years of industry experience.
• Experience optimizing large-scale distributed systems for cost and efficiency.
• Experience with AWS or similar cloud providers.
• Proficiency with Python and familiarity with C++.
• Track record of keeping production systems running with high availability.

Nice to have

• Experience with machine learning workloads such as training, inference, or data generation from a cost-optimization perspective.
• Background in algorithmic optimization or performance investigation.
• Experience with Ray.io, particularly Ray Core and Ray Data.
• Understanding of the robotics data lifecycle.

Culture & Benefits

• Hands-on role with substantial independence and ownership.
• Small, focused team within the broader Autonomy organization.
• Close collaboration with end users, including autonomy engineers.
• Full-time employment in a hybrid workplace.