Senior/Staff Software Engineer - Planner Frameworks Pipeline (Autonomy)

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

Company

Zoox develops self-driving vehicles and autonomy software.

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 capabilities for new use cases.
• Work closely with engineers developing on-vehicle autonomy algorithms and models while focusing on end-to-end validation workflows.

Requirements

• Bachelor’s degree in Computer Science or a related field and 8+ 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.
• Hands-on experience contributing to architecture, reliability, efficiency, and independent ownership of software frameworks.

Nice to have

• Exposure to machine learning workloads, including training, inference, and 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

• Hybrid workplace in Foster City or San Francisco.
• Small, scrappy team within the broader Autonomy organization.
• High degree of independence and ownership.
• Close collaboration with autonomy engineers and end users.
• Full-time employment.