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/off-boarding, 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).
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.
AI & MCP integrations: Experience deploying LLM agents, MCP servers, or AI-native internal tools using Python, JS, Git, or Bash for IT/Ops automation.
Identity & MDM: Hands-on experience administering enterprise 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).
