Systems Engineer, Robotaxi Performance

About the role

Systems Engineer, Robotaxi Performance | Tesla (Engineering & Information Technology)

Location: Palo Alto, California | Req ID: 284178 | Job Type: Full-time

What to Expect

The 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!

What You'll Do

• Create, Manage, and Present core performance KPIs for Robotaxi
• Uncover fleet and user trends, resulting in operational improvements and optimization
• Design, train, and deploy machine learning models to evaluate performance
• Identify where the network is leaving margin on the table
• Partner with operations, finance, network planning, and pricing so outputs

What You'll Bring

• Degree in Computer Science, Machine Learning, Operations Research, or a related field, proof of exceptional skills in a related field, or equivalent experience
• 3+ years developing and deploying machine learning and optimization models in production, with measurable business impact over multiple quarters
• Experience in system building and evaluation, data management and trend projections
• Proficiency in Python and ML frameworks, full stack experience preferred
• Experience in rideshare, marketplace, logistics, or fleet optimization strongly preferred
• Ability to solve open-ended, difficult technical problems with little guidance
• Excellent collaboration across engineering, finance, and operations
• Excitement about learning new skills and owning outcomes in a fast-moving R&D environment

Benefits

Along 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 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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected 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.