---
title: 'Software Engineer, Data Platform at Mind Robotics'
canonical: 'https://feeny.ai/job/software-engineer-data-platform-mind-robotics-palo-alto-h9nnhq30rhnc'
type: 'job'
last_seen: '2026-09-26'
---

# Software Engineer, Data Platform at Mind Robotics

- **Company:** Mind Robotics
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.ashbyhq.com/mindrobotics/375e5c16-b4a7-475a-8a5b-5c98c01ff512

## Job description

About Mind: Mind Robotics is building robots that learn from real-world experience, and the data platform is what turns raw experience into training signal. Every day, sensor data flows in from multiple sources — arriving in different formats, at different volumes, and with different quality bars. This team owns what happens next: ingesting that data reliably, validating and curating it for quality and diversity, powering annotation, and building the automated methods that will increasingly do that labeling work. About the role: As a Software Engineer working on the data platform, you'll be one of the founding engineers on the team that owns our application layer, reporting to our Head of Application Engineering. The systems work today; your job is to help harden and productionize them for scale — ingesting from a growing number of sources and field sites, and turning raw captures into training-ready data faster and at higher quality. This is early, hands-on, 0-to-1 engineering: you'll build the pipelines and tooling that determine what data actually makes it into our models, and see the effect on robot behavior. You will:

- Build data ingestion pipelines from multiple sources, including our own field capture and teleop stacks
- Build automatic data validation systems that catch quality issues before data reaches annotation or training
- Build and improve annotation ingestion, tooling, and workflows to increase labelling efficiency and throughput
- Own data quality and diversity — build the systems and metrics that tell us what data we have, what's missing, and where to focus collection
- Explore and build automated annotation methods, including running computer vision and vision-language models for tasks like depth estimation, hand tracking, and auto-labeling, to reduce manual labelling load over time
- Support the platform — debug issues in live pipelines, instrument for observability, and work directly with research and annotation partners who depend on your software

Requirements:

- 2+ years of software engineering experience building production systems
- Strong programming fundamentals and comfort working across the stack — services, data pipelines, and applied ML tooling
- Experience with at least one of: real-time or large-scale data pipelines, ML data workflows, computer vision, or data infrastructure
- 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 annotation/operations partners
- Hands-on experience with sensor data (video, depth, IMU, force/torque) and the infrastructure to process, validate, and label it at scale is a plus
- Experience with streaming or near-real-time data pipelines is a plus
- Familiarity with ML data workflows (datasets, labelling, evaluation) is a plus
- Experience running or integrating computer vision or vision-language models (e.g., depth, pose/hand tracking, open-vocabulary detection, auto-labeling) 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

- [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
- [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
- [Simulation and Validation Software Engineer](https://feeny.ai/job/simulation-and-validation-software-engineer-mind-robotics-palo-alto-byck56jcmcar) — Palo Alto, CA