Tesla

Makes electric cars, robotaxis and grid batteries

Systems Integration Engineer - Policy, Optimus

Robotics & Autonomous SystemsConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

Hands-on experience training and deploying policies for robotics or autonomous systems.
Strong proficiency in PyTorch and large-scale distributed training.
A proven track record of shipping real-world neural policies.
Familiarity with multimodal sensing, including vision, proprioception, and tactile sensing, and modern machine learning methods.
A production engineering mindset focused on safety-critical, low-latency systems.
Passion for building general embodied intelligence through reinforcement learning.

Responsibilities

Create and scale datasets from a variety of sources, including humans, bots, and simulation.
Design and train efficient, performant policies that complete a wide variety of tasks on Optimus.
Create evaluation benchmarks for Optimus policies to enable fast iterative improvement.
Perform large-scale pre-training and reinforcement learning to create intelligent and robust policies.
Deploy policies on Optimus.

Category	Tesla SI
Location	Palo Alto, California
Requisition ID	273795
Type	Full-time

Job Description

<div class="MSWordContent"><p>Tesla is scaling the manufacturing of Optimus to the order of millions of bots. The scale of this fleet of bots unlocks previously infeasible methods for real world learning, real2sim2real and policy evaluation. Similar to the end-to-end models for Full Self Driving, we strive for simple but scalable algorithms for Optimus. As an SI Engineer working on Optimus Policy, you will work on the data, model training, evaluation and deployment of Optimus policies for a wide range of tasks – including but not limited to loco-manipulation, dexterous manipulation, navigation outdoors and on uneven terrain etc. You will get to work on the full training stages of the model – from pre-training to reinforcement learning. </div>

Job Responsibilities

Create and scale datasets from a variety of sources (human, bot, simulation)
Design and train efficient and performant policies that complete a wide variety of tasks on Optimus
Create evaluation benchmarks for Optimus policies for fast iterative improvement
Large-scale pre-training and reinforcement learning to create intelligent and robust policies
Deploy policies on Optimus

Job 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 (vision, proprioception, tactile) and modern ML methods
Production engineering mindset focused on safety-critical, low-latency systems
Passion for building general embodied intelligence through reinforcement learning

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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