Robotics Engineer, Autopilot AI

As a member of the Autopilot Fleet Learning team, you will take on a highly cross-functional role to automatically label large amounts of data from the global Tesla vehicle fleet, train cutting-edge deep neural networks on these labels, and integrate the models with the rest of the Autopilot software stack to support numerous state-of-the-art autonomous driving functionalities and safety-critical features.

We are looking for both generalists with a breadth of expertise who are excited to work across the entire pipeline, as well as specialists who can dive deep on specific modules. An ideal candidate will possess strong expertise in at least one of the following areas.

What You’ll Do:

At least one of:

1. Develop offline state estimation, 3D reconstruction, and sensor fusion algorithms to automatically generate supervision for deep neural networks.
2. Train deep neural networks with large scale, auto-labelled datasets.
3. Design and implement tools, tests, and metrics to accelerate the data generation and model development cycles.
4. Integrate the models with the real-time embedded C++ software stack.
5. Work with planning & controls team to develop control policies on top of network outputs.

What You’ll Bring:

1. Minimum 3 years of experience writing production-level Python or C++.
2. Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and numerical optimization.
3. Exposure to a major deep learning framework such as PyTorch, TensorFlow, Keras, or MXNet.

Preferred Qualifications:

1. Experience writing both production-level Python (including Numpy and Pytorch) and modern C++.
2. Proven track record of training and deploying real world neural networks
3. Familiarity with 3D computer vision and/or graphics pipelines.
4. Comfortable with general robotics, state estimation, filtering.
5. Prior work in Robotics, State estimation, Visual Odometry, SLAM, Structure from Motion, 3D Reconstruction.
6. Exposure to recent advances in Differentiable Rendering and Neural Rendering Techniques.

Benefits:

Compensation and Benefits:

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

1. Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
2. Family-building, fertility, adoption and surrogacy benefits
3. Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
4. Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
5. Healthcare and Dependent Care Flexible Spending Accounts (FSA)
6. LGBTQ+ care concierge services
7. 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
8. Company paid Basic Life, AD&D, short-term and long-term disability insurance
9. Employee Assistance Program
10. Sick and Vacation time (Flex time for salary positions), and Paid Holidays
11. Back-up childcare and parenting support resources
12. Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
13. Weight Loss and Tobacco Cessation Programs
14. Tesla Babies program
15. Commuter benefits
16. Employee discounts and perks program

Expected Compensation:

$116,000 – $360,000/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.