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15 days
Not Specified
Not Specified
$45.86/hr - $74.57/hr (Estimated)
<p>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.</p> <p>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.</p> <ul> <li>Analyze large-scale data from our fleet to identify opportunities to improve operational efficiency of the Robotaxi fleet (pickup times, deadhead miles, etc.) </li><li>Design and implement optimization algorithms to manage Robotaxi fleet operations </li><li>Collaborate with Tesla Fleetnet Software Engineers to implement and deploy these algorithms at scale </li><li>Design and implement test plans and tools to measure efficacy and ensure quality of fleet management algorithms </li><li>Collaborate with Validation teams to ensure regression are prevented and rollouts are successful </li><li>Technical communication of analysis results?and tradeoffs to decision makers?and cross-functional teams </li><li>Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability </li><li>Fluency with exploratory statistical analysis and testing on large data sets </li><li>Strong fundamental background and experience in operations research techniques used to solve fleet management/logistics problems </li><li>Strong evidence of ability to ground-up design, analyze, and implement an optimization scheme for any real-world system </li><li>Strong understanding of operations research toolchains and their trade-offs </li><li>Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment </li><li>Proficiency in Python and Golang, and experience in collaborative code development </li></ul>
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