Deep Learning Manipulation Engineer, Optimus
@ Tesla
Summary
About the Company
Company Name: Tesla
Industry: AI & Robotics
Benefits
Aetna PPO and HSA plans, Family-building benefits, Dental and vision plans, HSA Contribution, Flexible Spending Accounts, 401(k) with employer match, Employee Stock Purchase Plans, Life and disability insurance, Employee Assistance Program, Sick and Vacation time, Back-up childcare, Voluntary benefits, Weight Loss and Tobacco Cessation Programs, Commuter benefits, Employee discounts
Job Description
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