Software Engineer, Agentic AI Fleet Management

Tesla builds fleet management and robot control software that orchestrates autonomous robots and automation systems - including AMRs, ASRS and conveyance systems - across global manufacturing and warehouse facilities. The platform integrates with robots, industrial equipment, and internal MES systems to coordinate material flow end-to-end. These systems are production-critical and directly impact factory throughput, uptime, and scalability.

We are seeking a Software Engineer to join the Fleet Management team. The team is embedding AI agents into the platform across agent-assisted support for factory operators, automated response to production incidents, and AI-driven robot orchestration. You will spend the majority of your time on the TypeScript agent stack, while also shipping Go fleet-platform changes and the operator-facing tools that make those agents usable on the factory floor.

You will work within a small, focused team alongside a Staff-level domain lead and experienced engineers. You will receive mentorship on agent development and systems design while being expected to take ownership of meaningful features from day one.

This position is based in Austin, TX (onsite).

• Own agent features across the TypeScript agent stack and the Go fleet platform - including tool calling, prompt and skill design, workflow orchestration, and the APIs those agents call
• Build agent-assisted workflows that help factory operators and support engineers diagnose fleet issues and act on them
• Automate incident response with agents that detect, triage, and assist in resolving production incidents
• Explore and apply LLM and ML techniques to job scheduling, vehicle routing, anomaly detection, and fleet decision-making
• Define how we measure agent quality - evals, golden test cases, scoring pipelines, and cost observability
• Contribute to frontend tooling that gives factory operators agent-assisted workflows and visibility into fleet status
• Write tests and instrumentation that make agent and fleet behavior transparent and debuggable

• Bachelor's Degree in Computer Science or a related field, or equivalent experience
• Strong foundations in algorithms, data structures, and systems design
• Proficiency in TypeScript or Go - interest in working across the agent stack, fleet backend, and operator UI
• Exposure to LLM application development including agents, tool or function calling, and prompt engineering - familiarity with agent frameworks such as Mastra and agent UI libraries such as CopilotKit is a plus
• Working familiarity with React, GraphQL, and Docker - Kubernetes experience is a plus
• Deep interest or experience in AI agents, robotics, fleet management, logistics, or automation
• Product-minded - you think about the operators behind the screen and how they will use what you build

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