Systems Engineer, Robotaxi Performance

Join the Robotaxi RevolutionThe future is autonomous. Join the Robotaxi division and drive the autonomous revolution, unlocking democratized, safe, low-cost transportation for all. Your role, positioned at the center of many critical teams at Tesla, will be critical to the successful deployment of Robotaxi.As a Systems Engineer focused on Robotaxi performance, you will evaluate robotaxi operational data and build out automated dashboards that can drive critical program decision making.

Additionally you will develop ML models that unlock new that used to make critical operational and product decisions. Building out of analytical models to better understand field data as well as creating data reporting automation pipelines will be a core components of this role.This is marketplace economics at the scale of a global autonomous network. There is no driver to surge.

The fleet is the product: energy, service, utilization, deadhead, and demand all collide in real time. You will forecast, optimize, and recommend the actions — positioning, matching, mix, incentives — that turn Cybercabs into a high-margin transportation system. Finally, we are revolutionizing the world with this product — bringing high motivation and excitement is a must!ResponsibilitiesCreate, Manage, and Present core performance KPIs for RobotaxiUncover fleet and user trends, resulting in operational improvements and optimizationDesign, train, and deploy machine learning models to evaluate performanceIdentify where the network is leaving margin on the tablePartner with operations, finance, network planning, and pricing so outputsRequirementsDegree in Computer Science, Machine Learning, Operations Research, or a related field, proof of exceptional skills in a related field, or equivalent experience3+ years developing and deploying machine learning and optimization models in production, with measurable business impact over multiple quartersExperience in system building and evaluation, data management and trend projectionsProficiency in Python and ML frameworks, full stack experience preferredExperience in rideshare, marketplace, logistics, or fleet optimization strongly preferredAbility to solve open-ended, difficult technical problems with little guidanceExcellent collaboration across engineering, finance, and operationsExcitement about learning new skills and owning outcomes in a fast-moving R&D environmentCompensation & BenefitsBenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:Medical plans > plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&DShort-term and long-term disability insurance (90 day waiting period)Employee Assistance ProgramSick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation $140,000 - $210,000/annual salary + cash and stock awards + benefitsPay 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.