Tesla

Makes electric cars, robotaxis and grid batteries

Staff Software Development Engineer - IT Infrastructure Engineering

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

At least 3–5 years of experience, with a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or equivalent experience.
Hands-on experience building production LLM agents that use tools, including function calling, MCP, or equivalent; routing, context, evaluation, and improving system reliability, with examples running in production.
Strong Python skills, including services and APIs, and the ability to work in an existing agent template and production codebase.
Experience shipping production software that others depend on, including design, implementation, code review, testing, observability, and operating deployed software.
Sound judgment around blast radius and automated-system failures, favoring propose-then-apply workflows, audit logs, and fail-safe behavior over unsupervised writes.
Ability to work with network and control engineers, technicians, and operators, and translate operational workflows into software without requiring a product manager to translate them.
Ability to sustain a modern web stack using Python, TypeScript, React, and APIs as needed; deep frontend specialization is not required.
Experience with Docker and Kubernetes, or ability to learn them quickly.
Familiarity with current SI tools and workflows for software development.
Knowledge of modern MCP/SI agent security, including OBO authentication and authorization.

Responsibilities

Own the agent platform end to end, including architecture, implementation, evaluation, and rollout on Tesla’s agent stack, taking the existing prototype to a tool used daily by the team and field engineers.
Connect the orchestrator to internal systems through tools and MCP-style integrations, including fleet management, logs and telemetry, ticketing, and NOC workflows, and add data sources as customer needs grow.
Design human-in-the-loop actions in which the agent investigates, explains, and proposes changes for user approval; build the required audit trail, guardrails, and failure handling, and have the agent ask users when sources disagree.
Build automations that reduce manual work around IT infrastructure workflows and commissioning time.
Sustain the existing web app for fleet visibility, application health on the connectivity layer, and onboarding; deliver operator capabilities, maintain reliability, and avoid one-off implementations.
Support third-party software deployments on Kubernetes for on-premises fleet-management software, including containers, Helm, and cluster operations.
Work directly with the team and field engineers as initial users; translate operational pain into product behavior and iterate to remove manual work.
Scale automated Private 5G eSIM management services across key sites; perform software engineering and own the eSIM lifecycle, including provisioning, monitoring, and de-provisioning, with an emphasis on security.

Category	Engineering & Information Technology
Location	AUSTIN, Texas
Requisition ID	286640
Type	Full-time

Job Description

<p>The IT Manufacturing Solutions Engineering team deploys high-impact systems across Tesla’s manufacturing, logistics, and operations sites. This role participates in two main software stacks: private 5G eSIM profile management services and an in-house SI (Super Intelligence) agent for managing mission critical private 5G cellular use-cases. You will have exposure to all programs including Optimus, Vehicle, and Manufacturing. </p><p>At the core of the job there is an SI agent platform you will help build: an orchestrator on Tesla’s agentic stack, connected to internal tools and data sources, that can answer questions, audit configurations, troubleshoot issues, and propose fixes with a human in the loop. You will also improve our existing web app and backend services, including self-service onboarding, alerting/notifications. </p>

Job Responsibilities

Own the agent platform end to end: architecture, implementation, evaluation, and rollout on Tesla’s agent stack, starting from the existing prototype and taking it to something our team and field engineers use in their daily work
Connect the orchestrator to internal systems through tools and MCP-style integrations (fleet management, logs and telemetry, ticketing, and NOC workflows) and add new data sources as our customers’ needs grow
Design human-in-the-loop actions: the agent investigates, explains, and proposes a change; a user approves before anything is applied. Build the audit trail, guardrails, and failure handling that this requires. When sources disagree, the agent asks the user rather than guessing
Build automations that eliminate manual work around our IT Infra workflows. Your work will cut down on commissioning time, helping us build factories faster
Sustain the existing web app for fleet visibility, health of applications on the connectivity layer, and onboarding, in partnership with the team: ship the capabilities operators need, keep the system reliable, and avoid turning every request into a one-off
Support third party software deployments on Kubernetes for our on-prem fleet-management software (containers, Helm, cluster operations)
Work directly with our team and field engineers as the first users. Turn their operational pain into product behavior, then iterate until the tool deletes the manual work
Scale automated Private 5G eSIM management services across key sites. You will do software engineering work and own the entire lifecycle of eSIM including provisioning, monitoring and de-provisioning with an emphasis on security

Job Requirements

At least 3-5 years of experience with bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics or equivalent experience
Hands-on experience building LLM agents that use tools (function calling, MCP, or equivalent): routing, context, evaluation, and making the system more reliable over time. This is the screen, must have examples running in production
Strong Python, including services and APIs, and the ability to work in an existing agent template and production codebase
Experience shipping production software that other people depend on: design, implementation, code review, testing, observability, and operating what you ship
Good judgment around blast radius. You have thought about what happens when an automated system is wrong, and you default to propose-then-apply, audit logs, and fail-safe behavior rather than unsupervised writes
Ability to work with non-software partners (network and control engineers, technicians, operators). You can turn complex operational workflows into software without needing a product manager to translate
Comfortable sustaining a modern web stack (Python/TypeScript/React and APIs) as needed. Deep frontend specialization is not the job
Experience with Docker and Kubernetes, or a clear ability to get there quickly, since this software runs in that environment
Familiar with latest SI tools and workflows for software development
Modern MCP/SI Agent Security, including OBO authentication and authorization

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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