Tesla

Makes electric cars, robotaxis and grid batteries

Systems Engineer - Robotaxi Performance

Applied Machine LearningConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Machine Learning, Operations Research, or a related field, proof of exceptional skills in a related field, or equivalent experience.
At least 3 years of experience 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 machine learning frameworks.
Ability to solve open-ended, difficult technical problems with little guidance.
Ability to collaborate across engineering, finance, and operations.
Excitement about learning new skills and owning outcomes in a fast-moving research and development environment.

Responsibilities

Create, manage, and present core performance key performance indicators 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 can inform decisions.

Desired Qualifications

Full-stack experience is preferred.
Experience in rideshare, marketplace, logistics, or fleet optimization is strongly preferred.

Category	Engineering & Information Technology
Location	Palo Alto, California
Requisition ID	284178
Type	Full-time

Job Description

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!

Job Responsibilities

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

Job Requirements

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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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