Autonomous Systems Engineer, Motion Planning

About the role

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This position at Tesla involves building foundational models for robotics to advance autonomy across vehicles. You will work on a lean team without boundaries with access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers. The role is centered on leveraging large-scale data and advanced learning methods to directly influence production autonomy systems.

What you'll do

What to Expect

Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers.

What You'll Do

• Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
• Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
• Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
• Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet

Requirements

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 - $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.

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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What you'll bring

• Strong experience with Python, any major deep learning framework, and software engineering best practices
• An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
• Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale
• Comfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products