AI Engineer, Manipulation, Optimus

Tesla Motors
Palo Alto, CA, United States
1 day ago
Apply on diversityjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$176,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Artificial Neural Networks Computer Vision Python (Programming Language) Natural Language Processing NumPy Software Architecture Subsystems Reinforcement Learning Pytorch Deep Learning C++14

Job description

Tesla AI is solving robust embodied intelligence through humanoid robots. Core to this is the manipulation stack, which presents a unique opportunity to work on state-of-the-art algorithms for object manipulation culminating in their deployment to real world production applications. Our robotic manipulation software engineers develop and own this stack from inception to deployment. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications. What You’ll Do

  • Design and develop our learned robotic manipulation software stack and algorithms
  • Develop robotic manipulation capabilities including but not limited to (re)grasping, pick-and-place, and more dexterous behaviors to enable useful work in both structured and unstructured environments
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Reason about uncertainty due to measurements and physical interaction with the environment, and develop algorithms that adapt well to imperfect information
  • Assist with overall software architecture design, including designing interfaces between subsystems
  • Ship production quality, safety-critical software
  • Collaborate with a team of exceptional individuals laser focused on bringing useful bi-ped humanoid robots into the real world

What You’ll Bring

  • Production quality modern C++ or Python

Requirements

  • Experience in deep imitation learning or reinforcement learning in realistic applications
  • Exposure to robotics learning through tactile and/or vision-based sensors
  • Experience writing both production-level Python (including Numpy and Pytorch) and modern C++
  • Proven track record of training and deploying real world neural networks
  • Familiarity with 3D computer vision and/or graphics pipelines
  • Experience with Natural Language Processing
  • Experience with distributed deep learning systems
  • Prior work in Robotics, State estimation, Visual Odometry, SLAM, Structure from Motion, 3D Reconstruction

Benefits & conditions

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

Expected Compensation $176,000 - $420,000/annual salary + cash and stock awards + benefits

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Summary of machine learning capabilities and engineering opportunities

Jan Zawadzki · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

6:28 min

Defining critical competencies for automotive AI engineering

Daniel Graff +1 · World Congress 2021

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

Videos

See all

Related articles

See all