--- title: 'Robotics Software Engineer at Mind Robotics' canonical: 'https://feeny.ai/job/robotics-software-engineer-mind-robotics-palo-alto-dnrtrrtz6vta' type: 'job' last_seen: '2026-09-11' --- # Robotics Software Engineer at Mind Robotics - **Company:** Mind Robotics - **Location:** Palo Alto, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-01-26 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/mindrobotics/d25b0136-b05a-4c2b-91ea-5aa9fb6fc095/application **Skills:** Middleware, Runtime Systems, CI/CD, Docker, Inter-process Communication, Low-latency optimization > Build high-performance middleware and runtime systems for robotic platforms, focusing on low-latency execution frameworks, inter-process communication, and robust CI/CD pipelines. The role involves optimizing system stability and managing Dockerization while developing intuitive operator interfaces. ## 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. Delivering this in production requires robust, high-performance robotics software that can reliably operate in complex, real-world settings. We’re looking for a Robotics Software Engineer to build the runtime systems, middleware, and developer infrastructure that power our robotic platforms—from low-level execution to operator-facing tools. Responsibilities: - Design, develop, and maintain runtime systems that enable reliable, low-latency operation of robotic platforms. - Ensure robustness of robotics systems across real-world deployment scenarios. - Implement and optimize robotics middleware for inter-process communication, data serialization, and message passing. - Integrate with frameworks like DDS, Zenoh, or build custom solutions as needed. - Build systems for task scheduling, resource management, and lifecycle management of robotic applications. - Enable scalable and modular execution of complex robotic behaviors. - Ensure that robotics systems meet strict latency and reliability requirements. - Optimize for resource-constrained and embedded environments. - Develop tools to monitor system health, debug failures, and analyze performance. - Design and maintain deployment workflows, CI/CD pipelines, and containerization (e.g., Docker). - Build abstractions, APIs, and tools that enable application engineers to develop robotic behaviors efficiently. - Contribute to operator-facing tools (e.g., UI for monitoring, control, and data annotation workflows). - Focus on developer experience and system ergonomics, ensuring that the platform scales across robots, tasks, and environments. Requirements: - Strong experience building robotics software systems and middleware. - Experience designing and building runtime systems, execution frameworks, or middleware layers. - Strong understanding of distributed systems and communication patterns in robotics. - Experience working with real-time constraints and performance-critical systems. - Strong proficiency in Python programming. - Familiarity with robotics middleware frameworks (e.g., DDS, Zenoh, ROS2). - Experience with containerization, CI/CD, and codebase management at scale. - Ability to design clean abstractions and APIs for internal users. - Experience building tools or interfaces for operators or engineers. Nice to Have: - Background in building operator tools or robotics UIs. - Experience supporting ML-driven robotic systems. ## 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 - [DevOps Engineer](https://feeny.ai/job/devops-engineer-mind-robotics-palo-alto-7v1ppafsxmdy) — Palo Alto, CA