---
title: 'IT Operations Lead at Mind Robotics'
canonical: 'https://feeny.ai/job/it-operations-lead-mind-robotics-palo-alto-nnxhw00ffje8'
type: 'job'
last_seen: '2026-09-11'
---

# IT Operations Lead at Mind Robotics

- **Company:** Mind Robotics
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/mindrobotics/0d99362e-37d5-42d1-b364-3ccffbd600ee

## 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).

## About Mind Robotics

## Company Overview
- **One-liner**: Mind Robotics builds AI-driven robotic systems for industrial deployment, focusing on creating general-purpose physical intelligence for the world's most demanding manufacturing challenges.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2025
- **Founders**: Not publicly disclosed (founding technical team includes Sriramana Sankar, Ruijie He, Vishal J., and Ury Zhilinsky as Founding Technical Members)

## Core Business
- **Primary industry/industries**: Robotics Engineering, Industrial Automation, Artificial Intelligence
- **Target customers**: B2B, Enterprise (industrial manufacturing, factory floors)
- **Mission or purpose statement**: "Building the generalized physical intelligence required to solve the world’s most demanding industrial challenges." The company believes the path to general-purpose robotics begins where the need is most acute and the environment is most structured: the factory floor.

## Products & Services
- **AI-Enabled Industrial Robots**: Intelligent robotic systems designed for industrial deployment, focusing on creating collaborative platforms for manufacturing environments. The company builds "physical AI" for real-world industrial challenges, emphasizing hardware-in-the-loop development where researchers and engineers work hands-on with hardware.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of **$615M** across two rounds
- **Notable Investors/Partners**: Andreessen Horowitz (co-lead Series A), Accel (co-lead Series A), Kleiner Perkins (led most recent round), Eclipse (seed), Prysm Capital, Menlo Ventures. Partners include Silicon Valley Robotics.
- **Growth Signals**: 
  - Raised a $115M seed round in late 2025, followed by a massive $500M Series A in March 2026 co-led by Accel and Andreessen Horowitz
  - Closed an additional funding round in May 2026 led by Kleiner Perkins
  - Headcount of ~21 employees with a monthly growth rate of +42.9%
  - LinkedIn following of 9,654 with +38.5% monthly growth
  - Talent sourced from top companies including Tesla, Rivian, Databricks, and Physical Intelligence

## Competitive Advantages
- **Massive capital advantage**: With $615M in total funding raised within its first year, Mind Robotics is one of the best-capitalized early-stage robotics startups, enabling aggressive hiring and R&D investment.
- **Top-tier investor backing**: Backed by Andreessen Horowitz, Accel, and Kleiner Perkins — some of the most prestigious venture firms in the world.
- **Hardware-in-the-loop philosophy**: The company emphasizes that the hardest problems in AI are solved when researchers and engineers are hands-on with hardware, creating a unique engineering culture focused on real-world deployment.
- **Lean, high-impact team**: With only ~21 employees and massive funding, each individual has outsized ownership and impact.

## Strategic Focus
- **Industrial deployment first**: Targeting factory floors as the most structured environment for deploying general-purpose robotics, believing this is the fastest path to broadly capable robots.
- **Physical AI development**: Building the intelligence layer for robots that can operate in messy, complex real-world environments.
- **Aggressive scaling**: With $615M in funding, the company is rapidly expanding its team across hardware engineering, software, and data platform roles.

## Why Work Here
- **Massive impact per person**: The company explicitly states it is "building a lean, collaborative team where every individual has a massive impact" — a rare promise for a company with over half a billion in funding.
- **Hardware-in-the-loop culture**: Engineers and researchers work directly with physical hardware daily, solving real-world problems rather than just simulation.
- **Top-tier team**: Colleagues include alumni from Tesla, Rivian, Databricks, and Physical Intelligence, creating a high-caliber peer group.
- **Work policy**: Hybrid workspace (combination of remote and on-site work) with a strong in-office presence in Palo Alto, CA. Most roles appear to be on-site or hybrid.
- **Open roles**: 22 active positions across hardware engineering (actuation, motor design, electrical design, tactile sensing), software engineering (robotics, firmware, controls, ML infrastructure), and data platform roles.
- **Culture highlights**: The company looks for "builders who are passionate about robotics and live for the challenge of making systems work in messy, complex environments." They emphasize a lean, collaborative team where every individual has massive impact.

## Sources
1. [mindrobotics.com](https://www.mindrobotics.com/)
2. [mindrobotics.com/careers](https://www.mindrobotics.com/careers)
3. [LinkedIn - Mind Robotics](https://www.linkedin.com/company/mindrobotics)
4. [Built In - Mind Robotics](https://builtin.com/company/mind-robotics)
5. [Ashby Jobs - Mind Robotics](https://jobs.ashbyhq.com/mindrobotics)

## Other roles at Mind Robotics

- [Actuation Engineer, Motor Design](https://feeny.ai/job/actuation-engineer-motor-design-mind-robotics-palo-alto-gxcwzjckdh2e) — Palo Alto, CA
- [Tech Lead, Robotics Runtime & Middleware](https://feeny.ai/job/tech-lead-robotics-runtime-middleware-mind-robotics-palo-alto-0nmtyyhy7tad) — Palo Alto, CA
- [Test Engineer, Actuation](https://feeny.ai/job/test-engineer-actuation-mind-robotics-palo-alto-fpcjggcme83d) — Palo Alto, CA
- [Supplier Industrialization Engineer](https://feeny.ai/job/supplier-industrialization-engineer-mind-robotics-palo-alto-v7csa9tpt7ys) — Palo Alto, CA
- [System Integration Engineer](https://feeny.ai/job/system-integration-engineer-mind-robotics-palo-alto-fbfk3r1bw99s) — Palo Alto, CA
- [Tech Lead, Software Infrastructure and Fleet Management](https://feeny.ai/job/tech-lead-software-infrastructure-and-fleet-management-mind-robotics-palo-alto-1pdhevhnevhm) — Palo Alto, CA
- [Hardware Lab Technician](https://feeny.ai/job/hardware-lab-technician-mind-robotics-palo-alto-wrdf1ybv7y4g) — Palo Alto, CA
- [Simulation and Validation Software Engineer](https://feeny.ai/job/simulation-and-validation-software-engineer-mind-robotics-palo-alto-byck56jcmcar) — Palo Alto, CA
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-mind-robotics-palo-alto-7v1ppafsxmdy) — Palo Alto, CA
- [Manager, Electrical Engineering](https://feeny.ai/job/manager-electrical-engineering-mind-robotics-palo-alto-k03w66gd0cp8) — Palo Alto, CA