---
title: 'DevOps Engineer at Mind Robotics'
canonical: 'https://feeny.ai/job/devops-engineer-mind-robotics-palo-alto-7v1ppafsxmdy'
type: 'job'
last_seen: '2026-09-11'
---

# DevOps Engineer at Mind Robotics

- **Company:** Mind Robotics
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/mindrobotics/4e6d89ae-9dbc-4711-88a3-29a5eac71b22

## Job description

About Mind: Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.

About the team and the role: At Mind Robotics, we're building generalized physical AI—robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Our robots rely on a sophisticated software platform that spans cloud infrastructure, robotics middleware, simulation, machine learning, and deployment to physical hardware. We're looking for a DevOps Engineer to build and operate the infrastructure that enables engineers to develop, test, deploy, and monitor robotic systems reliably at scale. You'll work across software, ML, and robotics teams to automate infrastructure, streamline deployments, improve developer productivity, and ensure our robots can be continuously updated and monitored both in the lab and in production.

Responsibilities:

- Design, deploy, and maintain scalable cloud infrastructure using AWS, GCP, or Azure.
- Build and maintain Infrastructure as Code using Terraform or similar tools.
- Develop CI/CD pipelines for robotics software, embedded applications, and machine learning workflows.
- Automate software deployment across development robots, test environments, and production fleets.
- Improve build systems, artifact management, release processes, and version control workflows.
- Manage Kubernetes clusters and containerized services supporting robotics applications.
- Monitor infrastructure health, application performance, and production systems using modern observability tools.
- Improve system reliability, uptime, security, and disaster recovery processes.
- Build internal developer tooling that increases engineering productivity.
- Partner with robotics, firmware, and ML teams to create reproducible development environments.
- Support simulation infrastructure and large-scale testing pipelines.
- Optimize cloud resource utilization and infrastructure costs.
- Implement security best practices for infrastructure, secrets management, networking, and access controls.
- Participate in incident response, root cause analysis, and continuous operational improvements.

Requirements:

- 4+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure Engineering.
- Strong experience administering Linux systems.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Experience with Kubernetes and Docker in production environments.
- Strong Infrastructure as Code experience (Terraform preferred).
- Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar platforms.
- Experience with configuration management and automation tools.
- Proficiency with Python, Go, or Bash for infrastructure automation.
- Experience implementing monitoring and logging solutions (Prometheus, Grafana, Datadog, ELK, OpenTelemetry, etc.).
- Strong understanding of networking, security, authentication, and distributed systems.
- Experience troubleshooting production systems under operational constraints.

Nice to haves:

- Experience supporting robotics, autonomous systems, or embedded software teams.
- Experience deploying software to fleets of physical devices.
- Experience supporting GPU infrastructure and ML training clusters.
- Experience with NVIDIA GPUs, CUDA environments, or distributed training systems.
- Experience managing artifact repositories and large binary assets.
- Experience supporting simulation environments.
- Knowledge of software supply chain security and SBOMs.
- Experience with edge computing or IoT deployments.

## 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
- [IT Operations Lead](https://feeny.ai/job/it-operations-lead-mind-robotics-palo-alto-nnxhw00ffje8) — 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
- [Manager, Electrical Engineering](https://feeny.ai/job/manager-electrical-engineering-mind-robotics-palo-alto-k03w66gd0cp8) — Palo Alto, CA