Traffic Prediction & Routing Algorithms Engineer, Vehicle Controls

As a member of the Vehicle Controls Systems Optimization Algorithms team, you will work closely with our Navigation Software team on advancing the capability of Tesla's in-house traffic prediction and routing algorithms that serve our customer cars today and will serve our future Robotaxis. You will apply a combination of basic physics modeling of the world, along with strong skillsets in statistical analysis, operations research, and machine learning to help improve our systems.
Tesla vehicles collect many terabytes of data per day. You will work on problems spanning aggregating Tesla fleet data to improve our in-house traffic prediction models, improving accuracy of ETA provided by the navigation system, improving route quality, and more.

Responsibilities

• Analysis of large-scale data and statistics from the Tesla fleet to inform traffic prediction and routing algorithms/features
• Design, analysis, and prototype new algorithms and features to improve traffic prediction accuracy and customer experience
• Collaborate with Tesla Navigation Software Engineers to implement, validate and deploy these algorithms at scale
• Design and implement test plans, build pipelines and tools to ensure quality of trip planning algorithms deployed to our customers
• Collaborate with Validation teams to ensure regression are prevented and rollouts are successful
• Technical communication of analysis results and tradeoffs to decision makers and cross-functional teams

Requirements

• Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability
• Fluency with exploratory statistical analysis and testing on large data sets
• Strong evidence of ability to ground-up design, analyze, and implement a forecasting or optimization scheme for any real-world application
• Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment
• Experience with using machine learning techniques on prediction problems
• Proficiency in Python and Golang, and experience with collaborative code development
• Experience with some flavor of traffic and routing algorithms, preferred

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

$133,440 - $292,800/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.