Forward Deployed Engineer

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From RLWRLD’s original posting

About RLWRLD At RLWRLD, we are solving one of the most critical bottlenecks in robotic automation: true physical dexterity. Our state-of-the-art Robotics Foundation Models (RFMs) power autonomous systems capable of complex manipulation, consistently topping benchmarks like the RoboCasa Kitchen Leaderboard. We are one of the few RFM companies actively executing real-world deployments in customer facilities across Korea, Japan, and the US. Work with a team that has deep expertise in Robotics, and AI. Founders are serial deep tech entrepreneurs, having exited previous deep tech start-ups to companies like Intel. What You'll Do • Own the Stack: Drive the entire deployment lifecycle, taking responsibility for data collection, model fine-tuning, physical system deployment, troubleshooting, and production observability and fixes. • Solve Field Issues: Rapidly isolate and patch hardware, software, and perception failures under dynamic demo and production conditions. • Bridge R&D and Ops: Collect raw operational data and failure modes from the field to directly inform our core foundational model training and architecture. Qualifications • Field Experience: 2–3+ years deploying robotics or…