---
title: 'Data Infrastructure Engineer at Mind Robotics'
canonical: 'https://feeny.ai/job/data-infrastructure-engineer-mind-robotics-palo-alto-wkp3cpxxb1tr'
type: 'job'
last_seen: '2026-11-06'
---

# Data Infrastructure Engineer at Mind Robotics

- **Company:** Mind Robotics
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-01-26
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/mindrobotics/105d9f55-9914-49a3-a622-1565dcde5f01/application

**Skills:** Data Engineering, Cloud Infrastructure, Data Pipelines, Storage Solutions, AI Training Data

> Build and own large-scale data systems for robot AI training, including pipelines, labeling workflows, storage, and cloud infrastructure. Collaborate with researchers and engineers to ensure data reliability and support rapid progress in training and evaluation.

## 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: Mind Robotics is building robots that learn from real-world experience. That starts with a data engine: the pipelines and infrastructure that turn raw, messy, multimodal sensor streams from robots and human demonstrations into high-quality, well-curated training data at scale. As a Data Infrastructure Engineer, you'll build and operate the pipelines that turn raw sensor and demonstration data into training-ready datasets — from ingestion off real robots and capture devices, through processing and quality filtering, to the dataloaders that feed model training. The systems work today; your job is to build within the architecture, take ownership of specific pipelines and services, and help harden the system as it scales.

Responsibilities:

- Build and scale ingestion pipelines for high-volume, high-dimensional sensor data.
- Build and maintain data quality and curation systems, including both manual review workflows and auto-labeling.
- Contribute to storage and retrieval design for large-scale multimodal datasets, including format choices and versioning/lineage.
- Build and operate distributed processing infrastructure (batch and streaming).
- Debug production issues in live data pipelines — data corruption, schema drift, backpressure, and failures that only show up at scale.
- Work with modeling/research partners to understand data quality, format, and structure needs, and translate them into working pipelines.
- Participate in design and code review across the data infrastructure stack.

Requirements:

- 2+ years of software engineering experience, with some exposure to data pipelines, data engineering, or backend systems.
- Strong programming fundamentals in Python, with the ability to write performant, production-grade data processing code.
- Experience with at least one distributed data processing framework (e.g., Spark, Ray, Dask, or Flink), or strong fundamentals and willingness to ramp up quickly.
- Familiarity with data storage concepts — object storage, data lake table formats, and warehouse vs. lake tradeoffs.
- Bias for ownership: you've taken features or systems from prototype to production.
- Clear communicator who collaborates well with research/modeling partners and more senior teammates.
- Experience with workflow orchestration tools (e.g., Airflow, Dagster, Prefect) is a plus.
- Experience with streaming ingestion for high-volume, near-real-time data is a plus.
- Experience building automated data quality/curation systems (statistical filtering, anomaly detection, deduplication, or using ML models in an annotation/filtering pipeline) is a plus.
- Experience with robotics- or embodied-AI-specific data (multi-embodiment datasets, teleoperation/demonstration data, egocentric video) 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

- [Tech Lead Manager](https://feeny.ai/job/tech-lead-manager-mind-robotics-normal-3fhqp6bz3pxp) — Normal, IL
- [QA Reviewer, Data Annotation](https://feeny.ai/job/qa-reviewer-data-annotation-mind-robotics-palo-alto-3zs6g352cr63) — Palo Alto, CA
- [Tools and PLM Engineer](https://feeny.ai/job/tools-and-plm-engineer-mind-robotics-palo-alto-y1v513696ta8) — Palo Alto, CA
- [Electrical Design Engineer, Power Electronics](https://feeny.ai/job/electrical-design-engineer-power-electronics-mind-robotics-palo-alto-bjy7qhnq3nkr) — Palo Alto, CA
- [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
- [Mechanical Design Engineer, Wearables](https://feeny.ai/job/mechanical-design-engineer-wearables-mind-robotics-palo-alto-kveqcemqyqm2) — Palo Alto, CA