Fleet Management Algorithms Engineer

Job Description

 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. 

Job 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   

Job 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