Tesla

Makes electric cars, robotaxis and grid batteries

Network Planning Engineer - Charging

Data ScienceConfirmed live in the last 24 hours

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

About the Job

Requirements

A degree in Engineering, Operations Research, Statistics, Economics, or a related quantitative discipline, or equivalent experience.
At least 3 years of direct experience owning a forecasting, capacity, or demand model in production whose output informed business or capital decisions, or equivalent experience.
Experience maintaining models over time, monitoring accuracy, handling upstream data changes, and keeping recurring runs trustworthy.
Strong SQL and Python skills, with the ability to independently build and maintain data pipelines without depending on a platform team.
Fluency with AI-assisted development tools.
Experience with geospatial or spatiotemporal analysis.
Ability to explain a model and its assumptions to technical and executive audiences, with sound judgment about model fidelity and a history of shipping a defensible first version rather than over-engineering.

Responsibilities

Develop and own demand models across Tesla's charging programs.
Build and maintain validated datasets for network planning, including quality checks and a documented refresh cadence.
Maintain production models by monitoring accuracy, correcting drift, and adapting them as programs and upstream data change.
Translate vehicle program forecasts and plan changes into updated charging demand projections on a regular planning cadence.
Ensure planning cycles are reproducible and auditable, with versioned assumptions and documented inputs.
Partner with business logic and field-facing teams to provide clear recommendations on site timing, sizing, and location.
Document model assumptions, limitations, and sensitivities so outputs can be defended to senior leadership.

Desired Qualifications

Experience in EV charging, utilities, transportation networks, logistics, or infrastructure capacity planning, or modeling fleet or commercial vehicle charging behavior.

Category	Charging
Location	Palo Alto, California
Requisition ID	288539
Type	Full-time

Job Description

The Network Planning Engineer, Charging will own the demand modeling that determines how Tesla's charging network grows. You will build and run the models that translate vehicle program forecasts into concrete answers about where, when, and how large our charging sites need to be. The output of your work directly informs site build decisions and the capital plans that fund them. This is a hands-on, build-oriented role on a small team. You will own modeling end to end - sourcing and validating the underlying data, developing the models, and defending the assumptions behind them to both field teams and leadership. You will build the data foundation you need rather than hand requirements to someone else, because a model is only as credible as the data beneath it. You will also own these models in production. The planning cycle runs on them, so keeping them accurate as programs evolve and upstream data changes matters as much as getting the first version right. Success in this role requires genuine modeling judgment, not just technical execution. Tesla is scaling charging infrastructure for several very different vehicle programs at once - ranging from a mature passenger fleet with years of utilization history to new programs with no operating history and plans that evolve quickly. Each demands a different modeling approach. This person must know what level of fidelity a decision warrants, ship a defensible answer on the timeline the business needs, and be clear about what the model does and does not know.

Job Responsibilities

Develop and own demand models across Tesla's charging programs
Build and maintain validated datasets for network planning, including quality checks and documented refresh cadence
Maintain models in production - monitor accuracy, correct drift, and adapt as programs and upstream data change
Translate vehicle program forecasts and plan changes into updated charging demand projections on a regular planning cadence
Ensure planning cycles are reproducible and auditable, with versioned assumptions and documented inputs
Partner with business logic and field-facing teams to drive clear site timing, sizing, and location recommendations
Document model assumptions, limitations, and sensitivities so outputs can be defended to senior leadership

Job Requirements

Degree in Engineering, Operations Research, Statistics, Economics, related quantitative discipline, or equivalent experience
3+ years of direct experience owning a forecasting, capacity, or demand model in production, where business or capital decisions were made on its output, or equivalent experience
Experience maintaining models over time, not only building them - monitoring accuracy, handling upstream data changes, and keeping recurring runs trustworthy
Strong SQL and Python; able to independently build and maintain data pipelines without dependency on a platform team. Fluent with AI-assisted development tools
Experience with geospatial or spatiotemporal analysis
Demonstrated ability to explain a model and its assumptions to both technical and executive audiences, with sound judgment on model fidelity - a proven history of shipping a defensible first version rather than over-engineering
Experience in EV charging, utilities, transportation networks, logistics, or infrastructure capacity planning, or modeling fleet or commercial vehicle charging behavior, a strong plus

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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