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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Frontend Software Engineer, Energy Charging

职能前端
级别中级
地点Fremont, California, United States
方式现场办公
类型全职
发布今天
立即申请

必备技能

JavaScript

TypeScript

React

Node.js

GraphQL

Next.js

What To Expect
At Tesla, we're accelerating the world's transition to sustainable energy, and our Energy Charging team is at the forefront of this mission. As a Front-End Software Engineer, you'll develop innovative customer experiences that empower Tesla's charging and Supercharging business units. Collaborating with core teams, you'll design, deliver, and scale tools that enhance the global charging ecosystem— from locating Superchargers and managing sessions to optimizing fleet operations and internal workflows. Your work will directly impact end customers and teams, unlocking new opportunities in the expanding EV charging market. This fast-paced, rewarding role lets you drive meaningful progress toward Tesla's goal of sustainable energy for all. This is a great opportunity to design and influence the next generation of systems supporting Tesla Charging operations.

What You'll Do

  • Build responsive, secure, intuitive, fast, accessible, and visually stunning global web applications for Tesla Energy customers and internal teams, leveraging React, Next.js, and modern best practices
  • Thrive in an agile environment, adapting quickly to evolving business needs and user feedback
  • Collaborate with a cross-functional team of Software Engineers, Product Managers, UX Designers, QA Engineers, and DevOps to own solutions from concept to production and beyond
  • Design for flexibility, scalability, and customization right from the start, incorporating server-side rendering, static generation, and API routes with Next.js
  • Apply first-principles thinking to optimize processes, enhance performance (e.g., via code-splitting and lazy loading), and deliver exceptional customer experiences
  • Work on impactful projects that directly advance sustainable energy adoption worldwide


  • What You'll Bring

  • 2+ years of hands-on experience in web application development, ideally with customer-facing and internal tools
  • Proficiency in TypeScript, JavaScript (ES6+), HTML, CSS, and the React framework, including Hooks, Context API, and component lifecycle management
  • Strong understanding of REST principles, best practices for building and consuming RESTful APIs, and experience with GraphQL as a plus
  • Familiarity with core React design patterns, state management (e.g., Redux or MobX), and tools like Babel, Webpack, NPM/Yarn
  • Experience with Next.js for server-side rendering, static sites, and full-stack development (e.g., using Node.js or Express) is highly preferred—willingness to dive into full-stack work is a big plus
  • Knowledge of modern web trends, including PWAs, accessibility (WCAG standards), security (OWASP guidelines), performance optimization (e.g., Lighthouse audits), and CSS-in-JS solutions
  • Passion for Tesla’s mission to accelerate the world’s transition to sustainable energy
  • Bachelor’s Degree in Computer Science or a related field, or equivalent professional experience


  • Benefits
    Compensation and 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


  • Expected Compensation

    $140,000 - $300,000/annual salary + cash and stock awards + benefits

    Pay 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.

    , Tesla

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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试评价

    4条评价

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts