Robotics Application Engineer

Rhoda AI

$90K — $130K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Robotics, Mechatronics, or related field
  • 3-6 years of mechanical design experience in robotics, automation, manufacturing, or industrial systems
  • Strong proficiency in CAD software (e.g., SolidWorks, OnShape)
  • Experience designing grippers, tooling, fixtures, or electromechanical assemblies
  • Hands-on prototyping experience including 3D printing, machining, and assembly
  • Proficiency in debugging robotic systems
  • Familiarity with AI/ML concepts applicable to robotics

Responsibilities

  • Execute customer projects from initial scoping to onsite delivery, acting as the key technical contact
  • Design and rapidly prototype mechanical solutions such as grippers and work-cells
  • Drive AI model post-training and deployment on robotic hardware
  • Develop expertise on products to enhance customer onboarding and inform planning
  • Identify failure patterns and establish reusable design standards for continuous improvement

Benefits

  • High ownership in a small team environment
  • Visibility into real-world performance of deployed solutions
  • Opportunity to influence product roadmap and innovative designs
Full Job Description
Were 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 Youll 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 Were Looking For

  • Bachelors 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

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