Fleet Management Algorithms Engineer, Vehicle Software

Tesla • Palo Alto, CA

9d

About The Position

As a member of the Vehicle Controls team, you will work closely with our Fleetnet Team on advancing the capability of Tesla’s in-house fleet-management algorithms that will optimally manage day-to-day operations of our fleet of Robotaxis to maximize customer happiness and operational efficiency.
You will apply a combination of strong skills in statistical analysis and operations research, to help develop state-of-the-art systems. You will work on problems including developing optimal matching and dispatching policies, and real-time fleet management logic for the Tesla Robotaxi experience.
Analyze large-scale data from our fleet to identify opportunities to improve operational efficiency of the Robotaxi fleet (pickup times, deadhead miles, etc.)
Design and implement optimization algorithms to manage Robotaxi fleet operations
Collaborate with Tesla Fleetnet Software Engineers to implement and deploy these algorithms at scale
Design and implement test plans and tools to measure efficacy and ensure quality of fleet management algorithms
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 fundamental background and experience in operations research techniques used to solve fleet management/logistics problems
• Strong evidence of ability to ground-up design, analyze, and implement an optimization scheme for any real-world system
• Strong understanding of operations research toolchains and their trade-offs
• Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment
• Proficiency in Python and Golang, and experience in collaborative code development

Responsibilities

• Analyze large-scale data from our fleet to identify opportunities to improve operational efficiency of the Robotaxi fleet (pickup times, deadhead miles, etc.)
• Design and implement optimization algorithms to manage Robotaxi fleet operations
• Collaborate with Tesla Fleetnet Software Engineers to implement and deploy these algorithms at scale
• Design and implement test plans and tools to measure efficacy and ensure quality of fleet management algorithms
• 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

Benefits

• Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees