Software Engineer, Battery Manufacturing Development

Tesla

📍Palo Alto, CA
Posted May 21, 2026

Job Overview

Position

Software Engineer, Battery Manufacturing Development

Company

Tesla

Location

Palo Alto, CA

Work Type

On-site

Job ID

li-4416587541

Job Description

What To Expect
Tesla is looking for a full-stack Software Engineer to contribute to the development of the data factory and software services for our cutting-edge battery products. This position will help drive technological advancement by delivering data and software solutions to solve high-volume manufacturing problems. Battery development is at the heart of Tesla’s mission, and this is an exciting opportunity to address the central challenges in scaling electric vehicle manufacturing and to see the physical impact of your work. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.

What You'll Do

  • Programmatically automate software builds, testing and deployments to achieve faster and more reliable production releases


  • Benchmark our data systems’ performance and identify ways to improve data efficiency, integrity, and scalability


  • Collaborate with Data Scientists and Software Engineers on building scalable ML infrastructure


  • Design and build web applications to empower data-driven manufacturing


  • Collaborate with controls automation and manufacturing execution system experts to ensure software product’s seamless integration into our manufacturing systems


  • Strive for best software engineering practices through documentation and code reviews


What You'll Bring
  • Degree in Computer Science, Computer Engineering, or equivalent experience


  • Proficiency with programming languages such as Python, Golang, JavaScript, CSS, HTML


  • Experience building modern web applications using React/Redux or similar component-based libraries


  • Experience with containerization, configuration, and deployment toolsets (Docker, Kubernetes)


  • Experience working with relational or columnar databases like Redshift or ClickHouse


  • Understanding of modern machine learning concepts and MLOps is a plus


  • Experience working with high-volume manufacturing systems is a strong plus


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 design a scalable data pipeline and web application architecture to handle high-volume battery manufacturing data using Kubernetes and React?
  • 2.Can you explain your experience with automating software builds, testing, and deployments? How do you ensure reliability in a fast-paced CI/CD pipeline?
  • 3.How would you benchmark and improve the performance and integrity of a columnar database like Redshift or ClickHouse processing large-scale manufacturing data?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you collaborated with data scientists to build or scale ML infrastructure. How did you bridge the gap between their models and production systems?
  • 2.Describe a situation where you had to ensure seamless integration between a new software product and existing legacy or operational systems, such as a Manufacturing Execution System (MES).
  • 3.Tesla is a fast-paced, demanding environment. Give me an example of a time you had to deliver a complex software solution under a tight deadline without sacrificing best practices like code reviews and documentation.
🧩Situational Questions (2)
  • 1.You discover that a newly deployed web application is causing unexpected load on the database, slowing down real-time data ingestion from the battery manufacturing line. How do you handle this?
  • 2.Controls automation engineers inform you that a software service your team built is intermittently dropping messages from the MES, causing data integrity issues. How would you approach troubleshooting and resolving this?

Resume Keywords

Make sure these keywords appear on your resume

Full-StackPythonGolangReact/ReduxKubernetesClickHouseMLOpsCI/CDManufacturing Execution SystemsData PipelinesBattery ManufacturingScalable Infrastructure

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