# Principal Software Engineer - Autonomy Behaviors

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** ML Engineering
**Salary:** $324k – $492k/yr
**Experience:** 10+ years
**Skills:** Python, C++, Deep Learning, Machine Learning, Imitation Learning, Reinforcement Learning, Model Scaling, Algorithm Design, Mathematics
**Posted:** 2025-11-04

> Lead technical development of ML algorithms for next-generation ML Planner. Drive innovations in imitation learning, reinforcement learning, and model scaling while mentoring ML developers.

## Job Description

## Responsibilities
- Set the technical direction of ML development for the future of our Planner
- Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner
- Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks
- Develop new methods to leverage Zoox’s Foundation Models into the ML Planner
- Provide technical mentorship to the broader group of ML developers at Zoox
- Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments

## Requirements
- BS, MS, or PhD degree in computer science or related field
- Proven track record of technical leadership in large-scale AI organizations
- Significant experience with training and deploying Deep Learning models to production
- Fluency in C++ or fluency in Python with a basic understanding of C++
- Extensive experience with programming and algorithm design
- Strong mathematics skills
- 10+ years of experience

## Nice-to-Haves
- Conference or Journal publications in Machine Learning or Robotics related venues
- Prior experience with Prediction and Planning for autonomous vehicles

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