Software Engineer, Full Stack

Tesla

📍Fremont, CA
Posted May 21, 2026

Job Overview

Position

Software Engineer, Full Stack

Company

Tesla

Location

Fremont, CA

Work Type

On-site

Job ID

li-4416575574

Job Description

What To Expect
The Manufacturing Quality Data Engineering team specializes in predicting safety critical issues before they occur, protecting our customers. As part of Tesla's Vehicle Engineering organization, you'll have access to the data gold mine of design, manufacturing, and vehicle data sources, enabling you to design, develop, and deploy innovative generative AI and machine learning platforms globally. In this role, you will focus on full-stack development global data platforms and web applications.

What You'll Do

  • Design, develop, and maintain Tesla's internal web applications and engineering tools focused on Industry 4.0, equipment sensors, and vehicle data managemen


  • Architect new systems, including databases and integration frameworks, to support robust and scalable solutions


  • Integrate with backend APIs, collaborating closely with backend developers to refine expected payloads, responses, and overall API interactions


  • Develop interactive frontend interfaces using React for user interface, system configuration, and execution workflows, ensuring responsive and intuitive user experiences


  • Build elegant, reliable, and scalable APIs in Python or Go to facilitate seamless interactions with applications, systems, and databases


  • Design and implement real-time software systems leveraging technologies like Kafka for efficient data streaming and processing


  • Partner with data and machine learning engineers to deploy interactive solutions into production through agile, rapid iteration cycles, while championing best software engineering practices including code reviews, design documentation, and ensuring code quality


What You'll Bring
  • Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience


  • 3+ years of work experience in software engineering or related fields


  • Expert knowledge and experience in writing Python/Go APIs with REST/gRPC standard


  • Strong attention to details and diligent in unit testing and integration testing practices


  • Experience with SQL and NOSQL database and good knowledge in query optimization, such as MySQL, MicrosoftSQL, MongoDB, Elasticsearch, Kafka


  • Experience with web technologies and web framework (React)


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 - $252,000/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

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you architect a real-time data pipeline using Kafka to process equipment sensor data, and how would you expose this data to a React frontend via a Python or Go API?
  • 2.When building a Python or Go API to serve vehicle manufacturing data, how do you decide between using REST and gRPC, and what strategies do you use to ensure API reliability and performance?
  • 3.Describe your approach to optimizing slow queries in a NoSQL database like MongoDB or Elasticsearch when building an internal engineering tool that queries massive manufacturing datasets.
🎯Behavioral Questions (3)
  • 1.Tell me about a time you collaborated closely with data or machine learning engineers to deploy an interactive solution into production.
  • 2.Describe a situation where you had to refactor or architect a new system to support a more robust and scalable solution under tight deadlines.
  • 3.Give an example of a time you championed code quality and diligent testing practices within your team during a rapid agile development cycle.
🧩Situational Questions (2)
  • 1.You are building a React frontend for a vehicle data management tool that suddenly experiences significant latency when rendering large tables of sensor data. How do you approach resolving this?
  • 2.A new requirement comes in to integrate an existing internal web application with a new machine learning model that predicts safety-critical issues. The model takes time to compute, and users need immediate feedback. How do you design this full-stack interaction?

Resume Keywords

Make sure these keywords appear on your resume

Full StackPythonGoReactKafkaREST/gRPCMongoDBElasticsearchMachine Learning IntegrationIndustry 4.0Unit TestingSystem Architecture

Interested in this position? Apply directly on LinkedIn.

Apply on LinkedIn →