Mindrobotics
IT Operations Lead
Palo Alto. Posted 2 months ago
The role
You will build and own IT operations end to end as the first dedicated IT hire. You will use AI agents and agentic workflows to automate support, identity, and provisioning while supporting robotics lab and compute infrastructure.
What you will do
- Own internal IT and support as the primary technical point of contact
- Build agentic automations and workflows using AI coding agents and LLM-driven workflows
- Manage identity, access, and endpoints using SaaS, identity, and MDM tools
- Support robotics lab and compute infrastructure including Ubuntu boxes and test bench PCs
- Design and maintain office and lab networking including VLAN segmentation and Wi-Fi
- Manage hardware and procurement including inventory, vendor relationships, and AV
- Perform hands-on physical lab IT setup such as racking and cabling
Required qualifications
- 6+ years of hands-on IT operations, systems administration, or IT engineering experience
- Active user of AI coding tools and agents (Cursor, Claude Code, LLM APIs)
- Experience or strong interest in building agentic/LLM-assisted workflows for operations
- Strong troubleshooting skills across macOS, Windows, and Linux (Ubuntu) at the OS, driver, and application layers
- Practical hands-on experience configuring managed switches, subnets, VLANs, DNS/DHCP, VPN, and robust Wi-Fi networks
- Experience deploying LLM agents, MCP servers, or AI-native internal tools using Python, JS, Git, or Bash
- Hands-on experience administering enterprise identity (Google Workspace, Okta) and modern MDM platforms (Fleet, Jamf, Intune, or equivalent)
- Willingness to work on-site and handle physical infrastructure including racking equipment and running and terminating cable
Nice to have
- Experience supporting robotics environments, ROS, or GPU/CUDA machine learning workstations
- Experience managing IT infrastructure through a new facility buildout or office/lab move
About the company
Mind Robotics is building intelligent robotic systems. Their work happens on-site across active hardware labs, test floors, and compute environments.