---
title: 'Software Engineer, Edge & Field Systems at Mind Robotics'
canonical: 'https://feeny.ai/job/software-engineer-edge-field-systems-mind-robotics-normal-t75nwdgtchv5'
type: 'job'
last_seen: '2026-10-16'
---

# Software Engineer, Edge & Field Systems at Mind Robotics

- **Company:** Mind Robotics
- **Location:** Normal, IL
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/mindrobotics/d8d93018-b5c2-4623-b252-5f032eab46ac

## Job description

About the team: Mind Robotics is building robots that learn from real-world experience — and the quality of that experience starts with how we collect and process data. Our field data collection system puts capture rigs on the factory floor at manufacturing sites, generating the raw sensor data that trains everything downstream. Our teleoperations program turns human demonstrations into high-quality data that grounds our AI models in physical reality. Both flow through annotation and quality control into our training platform. About the role: As a Software Engineer on Edge & Field Systems, you'll be one of the founding engineers on the team that owns our application layer, reporting to our Integration Manager. The systems work today; your job is to help harden and productionize them for scale — from 10 capture stations at one site to hundreds across multiple OEM plants, and from a handful of teleop stations to a multi-shift fleet. This is early, hands-on, 0-to-1 engineering: you'll ship code that runs on real hardware in real factories, and see its effect on robot behavior. You will:

- Build the field capture stack — edge software for our data collection rigs: device management, sensor orchestration, and real-time data quality monitoring that holds up on a factory floor, with workflows optimized for I/O-, compute-, and network-bound constraints
- Ship the teleop stack — collection, evaluation, and operator tooling for our teleoperation stations, including metrics, task management, and the workflows our robot operators use every day
- Build and contribute to integration and validation testing for field software, including hardware-in-the-loop (HIL) test setups that catch failures before they reach a live site
- Build monitoring and dashboards that give visibility into fleet health, capture quality, and station uptime across sites, accounting for intermittent connectivity and bounded bandwidth in the field
- Make deployment repeatable — build tooling and configuration systems that make onboarding a new manufacturing site a config change, not a custom engineering project, including device provisioning workflows
- Support the field — debug issues on live systems, instrument for observability, and work directly with site operations staff and robot operators who depend on your software

Requirements:

- 2+ years of software engineering experience building production systems
- Strong programming fundamentals and comfort working across the stack — edge devices, services, and local data pipelines
- Experience with at least one of: edge computing, device or fleet management, real-time systems, robotics or sensor systems
- Bias for ownership: you've taken features or systems from prototype to production and supported them in the field
- Clear communication and close collaboration with product, research, and operations partners
- Hands-on experience with sensor data (video, depth, IMU, force/torque) and the infrastructure to collect and monitor it in real time is a plus
- Experience with hardware-in-the-loop or simulation-based testing (e.g., Isaac Sim, Gazebo, MuJoCo) is a plus
- Background in robotics, autonomous vehicles, industrial IoT, or teleoperation systems is a plus
- Exposure to manufacturing or other industrial environments 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

- [Field Technician, Data Collection](https://feeny.ai/job/field-technician-data-collection-mind-robotics-normal-15vnxcrxc24p) — Normal, IL
- [Communications Lead](https://feeny.ai/job/communications-lead-mind-robotics-palo-alto-t7d5nwyggs2f) — Palo Alto, CA
- [Mechanical Design Engineer, Plastics](https://feeny.ai/job/mechanical-design-engineer-plastics-mind-robotics-palo-alto-1ythfx9nb8x4) — Palo Alto, CA
- [Software Engineer, Data Platform](https://feeny.ai/job/software-engineer-data-platform-mind-robotics-palo-alto-h9nnhq30rhnc) — Palo Alto, CA
- [Technical Program Manager, Software](https://feeny.ai/job/technical-program-manager-software-mind-robotics-palo-alto-nzbtjpp2a6gy) — Palo Alto, CA
- [Robot Operator, Data Collection](https://feeny.ai/job/robot-operator-data-collection-mind-robotics-palo-alto-8br5b7ksz571) — Palo Alto, CA
- [Mechanical Design Engineer, Wearables](https://feeny.ai/job/mechanical-design-engineer-wearables-mind-robotics-palo-alto-kveqcemqyqm2) — 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