Motion Planning Engineer, Autopilot

Key Skills

AI Robotic systems, Algorithms, C++, Environmental, Machine learning techniques, Mathematical modeling, Optimization, Python Programming, PyTorch

Job Description

Tesla is looking for a strong software engineer to drive the future of autonomy across all current and future generations of vehicles. Software is core to Tesla’s Autopilot, and motion planning is a key part to level 5 autonomy. As a Software Engineer on Motion Planning, you will contribute thought leadership and development horsepower across the entire product lifecycle in a highly collaborative environment. You will work on a lean team without boundaries to solve some of the most challenging problems in Autonomous Driving. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla’s customers.

What You’ll Do

• Develop motion planning software and algorithms for autonomous vehicles
• Reason about measurement as well as environmental uncertainty and develop algorithms that adapt well to imperfect information
• Tackle problems across multiple domains including but not limited to high level decision-making, multi-agent interactions and trajectory generation
• Assist with overall autopilot software architecture design, including designing interfaces between subsystems
• Ship production quality, safety-critical software to the entirety of Tesla’s vehicle fleet
• Leverage fleet data and state-of-the-art techniques in ML

What You’ll Bring

• Production quality C++ and/or Python/PyTorch
• Degree in Computer Science, Robotics, Physics, similar field(s) of study, or equivalent practical knowledge
• Mathematical fundamentals, including : geometry, linear algebra, vector calculus, probability and statistics. Experience implementing this math effectively in software
• Ability to rapidly prototype and test new algorithms
• At least one of the following -
• Shipped safety critical software for real time applications in a fast-pace environment
• Experience developing modern planning approaches such as search, sampling, trajectory optimization and model predictive control on real robots.
• Strong background in numerical optimization
• Experience designing highly optimized software for games
• Experience in Imitation, RL (especially offline/off-policy), modern NN architectures (such as GPT) or related techniques. Preference given to experience using “real world” datasets vs toy setups like MuJoCo.

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)
• LGBTQ+ care concierge services
• 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

$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.