Applied AI Software Engineer, Design Automation, Factory Software

What To Expect
We are seeking an Applied AI Software Engineer focused on design automation to join a small, high-performing team building AI agents and tooling that work alongside the architects, engineers, and BIM specialists who design and build our factories. You will design, build, and ship production software that reasons over real design and building-model data and takes real action, automating the workflows that move projects from concept through construction and handover. You will own features end to end, from understanding the design problem through deploying reliable tooling that the project teams depend on day to day.

The core challenge of the role is developing a deep understanding of the domain: how a design process actually works, where the source of truth for the model data lives, and what a good answer looks like to the person asking. The most rewarding part is seeing the impact: automation and agents that save designers time, eliminate error-prone manual work, and move large, fast-paced projects forward faster. You will work across modern programming languages, design and BIM tools, database systems, agent frameworks, and LLMs, and you will be expected to have strong software engineering fundamentals and the judgment to know when an agent's output is trustworthy. Strong communication skills and a collaborative, feedback-driven mindset are essential, because building these tools means working closely with the design and engineering experts whose work they support.

What You'll Do

Design, build, and ship production AI agents and automation that help design and engineering teams work faster and with fewer errors

Develop custom parametric content and automation for Revit using C#, Python, and Dynamo to support multiple design disciplines

Develop deep domain understanding of the design and BIM workflows each tool supports, and find the authoritative truth source for every data input

Build the harness around the model, including tool definitions, retrieval, context assembly, and guardrails, so agents produce trustworthy, verifiable answers

Write and iterate on prompts and tool instructions that make agents behave reliably

Evaluate agent behavior rigorously by building eval sets and automated graders that measure output quality and catch regressions before they ship

Integrate agents and automation with design tools and data systems including Revit, AutoCAD, IFC, and SQL databases

Lead projects end to end, from gathering requirements with domain experts through architecture, implementation, testing, and production deployment

Collaborate closely with design, project controls, and facilities teams to ensure each tool solves the real problem and earns user trust

Maintain high engineering standards across version control, code review, CI/CD, monitoring, and logging for the tools project teams rely on

What You'll Bring

Strong software engineering fundamentals and a track record of shipping and maintaining production systems

Proficiency in one or more modern languages such as C#, Python, Go, or JavaScript, including front-end frameworks such as React or Angular, with the ability to pick up others as the work demands

Hands-on experience automating or extending design tools, with proven expertise in Revit and AutoCAD and visual programming with Dynamo

Familiarity with IFC, data interoperability, and general awareness of other BIM and parametric design applications

Experience with SQL databases such as Postgres or MySQL, and database integrations with design tools

Hands-on experience building agents with a modern agent development framework such as Google ADK or LangGraph

Practical experience working with LLMs, including prompt engineering, harness engineering, and retrieval-augmented generation (RAG)

The curiosity and persistence to develop deep domain understanding and to find the truth source of data rather than assuming it

Strong communication skills and the ability to give and receive technical feedback in a collaborative environment

Bachelor's Degree in Computer Science, Engineering, or related or equivalent 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 - $210,000/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