IT Operations Lead Mind Robotics Palo Alto, CA Job Details Full-time 3 hours ago Qualifications AI models Network topology design Cloud identity and access management (IAM) Telecommunications network device configuration Okta IT user and group management Linux support Tooling Software coding Wireless network configuration Equipment troubleshooting AI platforms (beyond public GPTs) Windows Wi-Fi protocol VLAN Machine intelligence Computer hardware Desktop (troubleshooting support) Networking equipment (troubleshooting support) macOS administration macOS UEM Hardware management VPN management AI-driven automation API integrations Machine learning frameworks Automation tools Structured cabling installation Intune Full Job Description About the team and the role Mind Robotics is building intelligent robotic systems. Our work happens on-site across active hardware labs, test floors, and compute environments where hardware and software iterate together daily. As our first dedicated IT hire, you will build and own our IT operations end to end. You'll be responsible for making sure our teams never lose momentum to tooling, identity, device, or network issues, whether that means troubleshooting a Linux/driver setup in the lab, setting up zero-touch laptop provisioning for new hires, or ensuring our test-floor Wi-Fi can handle high-throughput robot telemetry. We believe modern IT should be built for extreme leverage. In this role, you will actively use AI agents and build agentic workflows (leveraging LLMs, MCP, and API integrations) to automate support intake, triage, provisioning, access approvals, and system reconciliation. You'll build an AI-native IT foundation that keeps operations fast, lean, and scalable without scaling support headcount. Responsibilities Own internal IT & support: Be the primary technical point of contact for the team. Establish a lightweight, responsive support workflow that unblocks engineers quickly without unnecessary red tape. Build agentic automations & workflows: Leverage AI coding agents and LLM-driven workflows (via APIs, MCP, webhooks) to automate repetitive IT operations: such as intelligent ticket triage, access requests, onboarding/offboarding, and system reconciliation. Manage identity, access, and endpoints: Administer our core SaaS, identity, and access stack (Google Workspace / IdP) and deploy modern MDM (e.g., Fleet, Jamf) for zero-touch provisioning and fleet visibility across macOS, Windows, and Linux machines. Support robotics lab & compute infrastructure: Help maintain our lab workstation fleet (Ubuntu boxes, test bench PCs), keeping configurations reliable and reproducible. Design and maintain office & lab networking: Manage local network infrastructure - VLAN segmentation (isolating robot telemetry, test benches, and corporate traffic), Wi-Fi reliability in dense RF lab environments, managed switches, and ISP circuits. Manage hardware & procurement: Own hardware ordering, inventory tracking, vendor relationships, conference room AV, and hands-on physical lab IT setup (racking, cabling, and workstation rollouts).

Requirements Experience:

6+ years of hands-on IT operations, systems administration, or IT engineering experience, ideally in a fast-paced startup, hardware, or robotics environment. AI & Agentic fluency: Active user of AI coding tools and agents (Cursor, Claude Code, LLM APIs) to accelerate development, with experience or strong interest in building agentic/LLM-assisted workflows for operations.

Multi-OS troubleshooting:

Strong troubleshooting skills across macOS, Windows, and Linux (Ubuntu) at the OS, driver, and application layers.

Networking fundamentals:

Practical hands-on experience configuring managed switches, subnets, VLANs, DNS/DHCP, VPN, and robust Wi-Fi networks.

AI & MCP

integrations: Experience deploying LLM agents, MCP servers, or AI-native internal tools useing Python, JS, Git, or Bash for IT/Ops automation.

Identity & MDM:

Hands-on experience administering nterprise identity (Google Workspace, Okta) and modern MDM platforms (Fleet, Jamf, Intune, or equivalent).

Hands-on facility readiness:

Willingness to work on-site and handle physical infrastructure: racking equipment, running and terminating cable, and supporting all types of hardware in an active lab and office environment.

Robotics & ML:

Experience supporting robotics environments, ROS, or

GPU/CUDA

machine learning workstations (is a plus).

Facility scaling:

Experience managing IT infrastructure through a new facility buildout or office/lab move (is a plus).