Founding Engineer

Founding Engineer — Robotics Data InfrastructureSan Francisco / RemoteAbout the jobThis role is being recruited by Reeval on behalf of one of our customers, Neural Motion.We work directly with candidates and match them to high-quality opportunities.If you're a strong fit, we will introduce you to the company.Next step: Visit www.reeval.io and speak with a dedicated (free) recruiter.Company descriptionNeural Motion is building a new infrastructure layer for robotics learning.Today, robotics data is fragmented across embodiments, formats, and pipelines. This blocks models from learning shared priors and limits scaling.The goal is to build a universal data pipeline and cross-embodiment representation layer that unifies real-world logs, simulation, and multimodal datasets into a single system.Role descriptionJoin as a Founding Engineer to build core infrastructure for robotics data at scale.You will work directly with the founding team to design and build systems that enable knowledge learned in one robot to transfer across many.This role sits at the intersection of:- Distributed systems - Data infrastructure - Robotics learning Why this role is interesting- Work on a foundational problem in robotics and physical AI - High ownership as an early engineer - Build systems that directly impact how robots learn at scale - Exposure to both infrastructure and research What you will do- Build high-throughput data pipelines for robotics datasets - Design distributed systems and microservices - Standardize raw logs into unified representations - Develop cross-embodiment transformation pipelines - Integrate multimodal systems (vision, simulation, etc.) - Enable real ↔ sim pipelines and evaluation systems Who we’re looking for- Experience with large-scale data systems or distributed systems - OR experience in robotics / embodied AI - Strong backend skills (Python, Go, or similar) - Comfortable in early-stage environments - Strong systems thinking Compensation- $150,000 – $220,000 b