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Work Study Tesla Robot Jobs in California (NOW HIRING)

We work with real customer data, real failures, and real deployment pressure. We're based in San ... Tesla. We're expanding the platform into policy training -- building the components that let ...

Service Admin, Optimus

Palo Alto, CA · On-site

$22.40 - $48/hr

You will not perform hands-on work on the robots themselves. Instead, you will focus on enabling ... Tesla Babies program * Commuter benefits * Employee discounts and perks program Expected ...

Sr. Software Engineer, Charging Payments

Fremont, CA · On-site

$134K - $177K/yr

... • Work on other areas of Tesla ownership experience on app and web to gain wider business ... areas of study, or equivalent experience • 4+ years of experience in web and mobile app ...

Senior Robot Animator

San Mateo, CA

$120K - $137K/yr

... work * Partner with our hardware teams on previz and range-of-motion studies that inform design ... Background working with humanoid or robotic characters in simulation or the real world

Senior Robot Animator

San Mateo, CA · On-site

$100K - $300K/yr

... work * Partner with our hardware teams on previz and range-of-motion studies that inform design ... Background working with humanoid or robotic characters in simulation or the real world

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... Every day, our work helps care teams perform with greater precision and patients recover faster ...

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... Every day, our work helps care teams perform with greater precision and patients recover faster ...

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... Every day, our work helps care teams perform with greater precision and patients recover faster ...

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... Every day, our work helps care teams perform with greater precision and patients recover faster ...

Perform reach & access studies and validate assembly sequence logic and interference-free robot ... Prior work experience in Engineering & Metrology Principles and Theory. * Strong communicationand ...

Perform reach & access studies and validate assembly sequence logic and interference-free robot ... Prior work experience in Engineering & Metrology Principles and Theory. * Strong communication and ...

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Founding Robot Learning

One Robot

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 5 days ago


Job description

One Robot builds task-specific world models and an evaluation platform for robot manipulation policies.

Training end-to-end policies for robots is vibes-based today. Teams collect data, train, deploy on a real robot, find out what fails, collect more, retry. We replace the trial-and-error with rigorous validation that tells you where your policy will fail and what data to collect to fix it.

Robotics can't industrialize without an evaluation layer. We're building it.

We're solving challenging technical problems around long-horizon autoregressive generation, world model controllability, and closing the sim-to-real gap. We work with real customer data, real failures, and real deployment pressure.

We're based in San Francisco, backed by Accel, YC, several exited founders, and engineering leaders at leading AI companies.

We're small and deliberately so. Everyone is an IC with deep ownership of a wide surface area. The culture is fast iteration and direct responsibility.

Hemanth Sarabu and Elton Shon co-founded One Robot after leading robot learning together at Industrial Next (YC W22), bringing experience from Google, NASA JPL, and Tesla.

We're expanding the platform into policy training — building the components that let policies validate and improve through our world model. You'll train manipulation policies — VLAs, end-to-end imitation, RL — and push the world model and eval forward.

What you'll do:
  • Train manipulation policies: Build VLAs, diffusion policies, or end-to-end imitation models and run them on real robots.
  • Validate the world model end-to-end: Train policies in simulation, deploy on real hardware, and find what doesn't transfer.
  • Push policy capabilities forward: Build the infrastructure that lets policies train and improve on our platform.
Requirements:
  • Very strong coding in Python and PyTorch.
  • Real-robot policy training: Track record training manipulation policies that ran on physical hardware.
  • Demonstration data: Hands-on experience curating real-robot demonstration datasets.
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