Deep Learning Manipulation Engineer, Optimus

Deep Learning Manipulation Engineer, Optimus
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 224501
Job Type Full-time
What to Expect
Tesla is on a path to build humanoid robots at scale to automate repetitive and boring tasks. Core to the Optimus, the manipulation stack 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
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
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
Employee Assistance Program
Sick and Vacation time (Flex time for salary 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
$140,000 - $420,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.



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https://www.tesla.com/careers/search/job/deep-learning-manipulation-engineer-optimus-224501