At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics 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 Required
- 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 (machine vision, imitation learning, reinforcement learning, policy training)
- Ability to collaborate cross-functionally in a fast-paced environment
- 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)
- Experience coordinating external contractors or vendors for fabrication or integration
What We Do
Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments. Using a Direct Video Action architecture and its FutureVision intelligence layer, Rhoda focuses on turnkey deployments in manufacturing, logistics, and e-commerce—aiming to move robots out of controlled labs and into reliable, adaptive production settings.
