--- title: 'Tools and PLM Engineer at Mind Robotics' canonical: 'https://feeny.ai/job/tools-and-plm-engineer-mind-robotics-palo-alto-y1v513696ta8' type: 'job' last_seen: '2026-11-06' --- # Tools and PLM Engineer at Mind Robotics - **Company:** Mind Robotics - **Location:** Palo Alto, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.ashbyhq.com/mindrobotics/9ef82514-902b-4700-8490-51b08048c26b ## 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. About the role: Mind Robotics is hiring a Tools and PLM Engineer to own the CAD and engineering tools our hardware teams design with. Our core platform is Dassault Systèmes 3DEXPERIENCE, and you will be its resident expert while keeping our wider toolchain running and up to date. You will build the processes that carry engineering data to manufacturing, supply chain and the rest of the company, and keep us ahead of new technology. Responsibilities: - Be the expert on all of our CAD tools, such as 3DEXPERIENCE, and the go-to person for engineers on any CAD issue, from modeling and assembly problems to data, performance and licensing. - Own Mind’s engineering systems domain end to end: 3DEXPERIENCE plus the CAD, ECAD, simulation and CAM toolchain, including platform administration, configuration, upgrades, licenses and vendors. - Own the flow of engineering data from design to build. Design the processes and integrations that carry released parts, BOMs, drawings and changes to manufacturing, supply chain and quality from one source of truth, with no manual re-entry. Manufacturing, supply chain and quality plan builds, orders and inspections on this data, so when it is late or wrong, their plans move. - Define how Mind manages engineering data: part numbering, release, change management and BOM structure, including the EBOM-to-MBOM handoff. - Decide which engineering-systems problems are worth solving and in what order. Set the roadmap, make the tradeoffs across teams, and explain what we are choosing not to address. - Evaluate new tools and new functionality from Dassault Systèmes and other vendors. Decide what we adopt, change or retire, and lead the rollout across teams. - Set the CAD, data and release standards that engineering, manufacturing, supply chain and quality work to, and build the training that makes them stick. - Remove repetitive CAD and PLM work with scripts, templates, tools and API integrations, and turn recurring support issues into lasting fixes. Requirements: - A track record of owning PLM and engineering tools for a hardware company, where other teams depended on the data and processes you ran. - Advanced, hands-on expertise across CAD tools such as 3DEXPERIENCE, not just administration and configuration, and a track record as the go-to CAD expert for an engineering team. - Deep knowledge of release, change and BOM management in CAD tools such as 3DEXPERIENCE. - Experience designing how engineering data reaches manufacturing and supply chain, such as EBOM-to-MBOM handoff and ERP item and BOM transfer. - Scripting in EKL, VBA, Python, C# or similar, and experience building on APIs. - The judgment to choose which problems to solve and which tools to adopt, and to separate real value from hype. - Clear communication with engineers and with leads in manufacturing, supply chain and quality, and patience as a trainer. ## 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. 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