mindrobotics

IT Operations Lead

Listed by employer · Checked

Posted within 60 days ·

  • onsite
  • FullTime
  • Operations
  • Palo Alto
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗

Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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.
Read full descriptionShow less description
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/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). 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 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).
Original formatting and links

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/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).

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 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).

No similar roles found yet — browse all mindrobotics jobs.

THE JOB ELIGIBILITY CHECKER

Check a job