Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - Agentic SI Fleet Management

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeAustin, TX, USANo salary listed

About the Job

Requirements

A 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, with interest in working across the agent stack, fleet backend, and operator UI.
Exposure to large language model application development, including agents, tool or function calling, and prompt engineering.
Working familiarity with React, GraphQL, and Docker.
Deep interest or experience in AI agents, robotics, fleet management, logistics, or automation.
A product-minded approach that considers operators and how they will use the software.

Responsibilities

Own agent features across the TypeScript agent stack and 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 large language model and machine learning techniques to job scheduling, vehicle routing, anomaly detection, and fleet decision-making.
Define how agent quality is measured through evaluations, 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.

Desired Qualifications

Familiarity with agent frameworks such as Mastra and agent UI libraries such as CopilotKit.
Kubernetes experience.

Category	Engineering & Information Technology
Location	AUSTIN, Texas
Requisition ID	281729
Type	Full-time

Job Description

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 SI agents into the platform across agent-assisted support for factory operators, automated response to production incidents, and SI-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).

Job Responsibilities

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

Job Requirements

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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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