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Rhoda ai

Posted 2 months ago

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Robotics Application Engineer

Palo AltoOn-siteFull-time

AI Summary

Mid-to-senior Robotics Application Engineer who translates real-world customer use cases into robust robot deployments, designing grippers, EOAT, fixtures, and deployment strategies while enabling AI model post-training on robot hardware.

About this role

At Rhoda AI, we're building the full-stack foundation for the next generation of humanoid robots — from high-performance, software-defined hardware to the foundational models and video world models that control it. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling scenarios unseen in training. We work at the intersection of large-scale learning, robotics, and systems, with a research team that includes researchers from Stanford, Berkeley, Harvard, and beyond. We're not building a feature; we're building a new computing platform for physical work — and with over $400M raised, we're investing aggressively in the R&D, hardware development, and manufacturing scale-up to make that a reality.

We're looking for a mid-to-senior Robotics Application Engineer to translate real-world customer use cases into robust intelligent robot deployments. You will design, prototype, and refine grippers, end-of-arm tooling, work stations, and integration hardware — and develop efficient strategies for robot learning and data collection — working at the intersection of robotics, AI, hardware, and deployment operations.

What You'll Do

  • Execute customer projects end-to-end — from scoping and solution design through onsite delivery, serving as the primary technical point of contact

  • Design mechanical solutions including grippers, EOAT, fixtures, and work-cells; rapidly prototype and validate concepts before field deployment

  • Drive AI model post-training and deployment on robot hardware, developing training strategies and partnering with robot pilots and data ops to build robust policies

  • Become a product expert — develop deep knowledge of the full stack and internal workflows to accelerate customer onboarding and inform the roadmap

  • Continuously improve by identifying failure patterns, building reusable design standards, and contributing to shared documentation

What We're Looking For

  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Robotics, Mechatronics, or a related field

  • 3–6 years of experience in mechanical design for robotics, automation, manufacturing, or industrial systems

  • Strong CAD proficiency (SolidWorks, OnShape, or equivalent)

  • Experience designing grippers, tooling, fixtures, or electromechanical assemblies

  • Hands-on prototyping experience (3D printing, machining, fabrication & assembly)

  • Experience debugging robotic systems

  • Familiarity with AI/ML concepts as applied to robotics (e.g., machine vision, imitation learning, reinforcement learning, or policy training)

  • Ability to collaborate cross-functionally in a fast-paced environment

Nice to Have (But Not Required)

  • Experience working with robotic arms or humanoid systems

  • Hands-on experience with robot policy training, fine-tuning, or deployment

  • Experience integrating conveyors, AMRs, actuators, sensors, and other electromechanical devices

  • Experience supporting real-world deployments or field installations — scoping timelines, managing deliverables, and coordinating across teams

  • Experience coordinating external contractors or vendors for fabrication or integration

Why This Role

  • Own the full customer journey — from first scoping call to live robot deployment — with direct visibility into how your solutions perform in the real world

  • Work at the intersection of hardware design and AI, shaping how our robots learn and operate in production customer environments

  • High ownership in a small team where your design decisions and deployment strategies directly influence the roadmap and scale of what we build next

Skills

3D PrintingAI/ML Concepts In Robotics (machine Vision, Imitation Learning, Reinforcement Learning)CAD (Solidworks, Onshape)Cross-Functional CollaborationData Ops CollaborationDeployment DocumentationElectromechanical AssembliesFabrication & AssemblyGripper And EOAT DesignMachiningMechanical Design For RoboticsRobotics Hardware PrototypingRobot Integration HardwareRobot Policy Training (concepts)Robot Software Deployment WorkflowsSystem IntegrationTroubleshooting Robotic Systems

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