Source description
About the role
Build your Career at Tesla

Full Stack AI Engineer, Electronic Systems
| Job Category | Engineering & Information Technology | | Location | PALO ALTO, California | | Req. ID | 264677 | | Job Type | Full-time |
What to Expect
The Electronic Systems organization is looking for a highly motivated software developer with a strong AI integration background excited by the opportunity to build and scale this system. The opportunities are wide open, leveraging the data our system supports to introduce new workflows and features. A strong candidate will be one able to consider a highly connected data model with many different user groups and find creative solutions to augment and visualize data while maintaining structure.
You will be part of a highly focused group developing AI assisted design tools to maximize speed and efficiency in the heart of the Tesla engineering design process. These tools are key from beginning to end of the design cycle and are being used across Design Engineering, Service Engineering, Program Management and Manufacturing globally.
The Electronic Systems organization is responsible for developing the core nervous system for our products from high level architecture and vehicle controllers to Low Voltage distribution design. The team is well known for the cutting edge 48V distribution and high safety integrity level for systems such as FSD, steer by wire, etc. As the team continuously pushes the limits and reimagines how vehicles are built, designed, and architected, we are also doing the same with our software to provide more robust and efficient engineering tools.
What You’ll Do
- Collaborate with engineering teams to understand design workflows, transforming real-world challenges into scalable software solutions and AI-powered tools
- Architect and build full-stack applications, including intelligent tools for design assistants and automated systems that redefine how teams work
- Research and integrate cutting-edge tools for AI agents, continuously improving architecture to drive innovation and efficiency
- Maintain and iterate on IaC systems, driving application reliability and team velocity
What You’ll Bring
- Degree in Computer Science or equivalent experience
- Proven ability to integrate LLMs or AI Agents into production applications
- Fluency in cloud application deployment, specifically familiarity with Docker, Kubernetes, and GitHub Actions
- Frontend expertise in React & TypeScript
- Experience developing scalable backend systems in Golang
- Complex data modelling expertise in SQL databases
Compensation and Benefits
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 is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ADA@tesla.com for ADA related questions or to request ADA accommodations.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.
More at Tesla
Related open roles
Software Validation Engineer, Actuators, Chassis Systems
San Francisco Bay Area · Onsite
Sr. Software Engineer, Vehicle Pricing, Digital Experience
San Francisco Bay Area · Onsite
Sr. Fullstack Developer (m/w/d)
Prüm, Rhineland-palatinate · Onsite
Software Engineer, C++ Generalist, AI Systems & Infrastructure
San Francisco Bay Area · Onsite
Internship, Data Capture Application Engineer, Energy Engineering (Fall 2026)
San Francisco Bay Area · Onsite
Staff Manufacturing Test Software Development Engineer, Optimus
San Francisco Bay Area · Onsite