Robotics Application Engineer

The role

You will lead technical scoping, prototyping, and deployment for customer engagements. You will design end effectors, author data collection procedures, and post-train AI models to perform specific tasks.

What you will do

• Scope new customer use cases and assess technical feasibility
• Design, prototype, and iterate on end effectors and task-specific tooling
• Author and refine data collection SOPs
• Post-train and evaluate Rhoda's AI model on customer tasks
• Lead on-site POC setup and execution
• Partner with Solution Engineers on task engineering and solution design
• Review proposals and provide technical feedback
• Support model training through FAT, deployment, and SAT
• Share field learnings with product and engineering

Required qualifications

• BS or MS in Mechanical Engineering, Mechatronics, Robotics, Computer Science, or a related field
• 3-8 years of hands-on experience in robotics, automation, or applied engineering in an industrial setting
• Strong mechanical design skills, including CAD (e.g., SolidWorks, Onshape, Fusion) and rapid prototyping (3D printing, machining, off-the-shelf components)
• Working knowledge of machine learning workflows — data collection, training, and evaluation
• Comfort working in Python
• Experience with robot arms, grippers, and sensors in real environments
• Strong problem-solving skills and comfort working with ambiguity in high stakes environments
• Clear communicator who can explain technical tradeoffs to customers and internal teams
• Willingness to travel to customer sites, including extended on-site POC periods (domestic and international)

Nice to have

• Experience with imitation learning, VLA models, world models, or robot foundation models
• Background in factory automation, material handling, or logistics
• Experience in a customer-facing technical role (application, field, FDE, or sales engineering)
• Familiarity with teleoperation systems

About the company

Rhoda AI is building generalist intelligent robots using a full robotics stack. The company has raised over $450M to invest in model research, infrastructure, hardware development, and manufacturing scale-up.