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This listing was closed on Jul 18, 2026.
Browse Open JobsAI Engineer, Policy, Optimus
Summary by AIEngineer.careers
AI Engineer, Policy, Optimus is a AI Engineer role (full-time). with Tesla. in PALO ALTO, US. Compensation shown: $124K–$558K. Imported listing (source: glassdoor.com). Apply on the employer's site (glassdoor.com).
Imported listing (source: glassdoor.com) · Apply on glassdoor.com
PALO ALTO · US
$124K–$558K
Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from glassdoor.com
Tesla is scaling manufacturing of Optimus bots and seeks an AI Engineer to work on policy training, evaluation, and deployment. The role involves creating datasets, designing policies, and large-scale reinforcement learning for real-world robotics tasks.
Responsibilities
- Create and scale datasets from human, bot, and simulation sources.
- Design and train efficient policies for a wide variety of tasks on Optimus.
- Create evaluation benchmarks for fast iterative improvement.
- Large-scale pre-training and reinforcement learning.
- Deploy policies on Optimus.
Requirements
- Hands-on experience training and deploying policies for robotics or autonomous systems.
- Strong proficiency in PyTorch and large-scale distributed training.
- Proven track record shipping real-world neural policies.
- Familiarity with multimodal sensing and modern ML methods.
- Production engineering mindset for safety-critical systems.
- Passion for building general embodied intelligence through reinforcement learning.
Tech Stack
Tesla
Austin · US · 134785+ employees
Tesla designs, develops, manufactures, and sells high-performance electric vehicles and energy generation and storage systems. The company is focused on accelerating the world's transition to sustainable energy and advancing artificial intelligence, including self-driving technology and AI robotics.
