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Octavian Robotics

Robotic systems and AI for manufacturing

Mechatronics Engineer Lead

Design EngineeringConfirmed live in the last 24 hours
Full-timeLos Angeles, CA, USA$170k - $190k /yr

About the Job

Requirements

  • A B.S. in Mechanical Engineering, Electrical Engineering, Robotics, Mechatronics, or a similar field.
  • Strong understanding of AI tools.
  • Technical depth in robotics, automation, or a related field, with experience shipping systems from concept to delivery.
  • Demonstrated experience working on 6DOF or similar collaborative robot arms.
  • Working knowledge of Python or a similar language.
  • At least 10 years of full-time professional experience.
  • Not currently enrolled in a college or graduate program.
  • Must be able to work without visa sponsorship.
  • Must work on-site in Van Nuys or Los Angeles, with a reliable commute or willingness to relocate.
  • Able to work extended hours and weekends as needed.
  • Must be able to work a 12-hour shift, Monday through Saturday.

Responsibilities

  • Own the VLA gripping and manipulation system from concept, design, build, bring-up, and deployment through field reliability, with accountability for its technical success.
  • Design the gripper and mechatronics, including end-effector design, actuation, GD&T drawings, mass, cost and manufacturability tradeoffs, rapid prototyping using 3D printing, laser cutting, CNC, or PCB, and production-ready designs.
  • Integrate perception and sensing into the manipulation loop, including cameras and vision, force, torque and tactile feedback, and the 6DOF arm.
  • Operationalize VLA and learned manipulation policies by establishing a teleoperation and demonstration-collection data pipeline, integrating policy inference into real-time control, evaluating grasp and handling success, and iterating between simulation and real-world robot use.
  • Optimize through analytical and physical simulation, then validate on hardware.
  • Work with suppliers on supply-chain development and vendor qualification for manufacturing feasibility, validation, and assigned commodities; deliver fit, finish, and craftsmanship for launch.
  • Support deployment by helping assemble and install systems at hospital sites as needed.

Desired Qualifications

  • An M.S. in Mechanical Engineering, Electrical Engineering, Mechatronics, or Robotics.
  • Hands-on experience with manipulation or grasping, or learned policies such as VLA, imitation learning, or ROS.
  • Familiarity with modern manipulation stacks, including ROS or ROS 2, OpenVLA or pi-0 style policies, RT-style models, imitation learning, and sim-to-real.
  • Experience taking a robotic system from concept to delivery on an R&D team.
  • Experience with end-effector or gripper design, grasping, pick-and-place, or assembly automation.
  • Experience integrating 6DOF and collaborative robot arms, including low-level programming and motion control.
  • Ability to integrate learned policies, run inference on a robot, collect and curate demonstration data, and debug policy failures on hardware.
  • Strong Python skills and working knowledge of real-time or embedded control.
  • Proficiency with CAD, 3D printing, laser cutting, CNC, and PCB prototyping tools.

About the Company

Octavian Robotics

Robotic systems and AI for manufacturing

Octavian Robotics builds robotic systems and AI software for factories. Its core offering combines robotic arms with vision-guided sensors and its own control software to automate high-precision production steps, including assembly and inspection, and to handle material processing. The systems operate with real-time monitoring and generate audit-ready digital records to support quality assurance and compliance. The company provides turnkey solutions with installation and ongoing support to help factories reach higher production throughput and better process efficiency, especially for tasks with variable part geometries. Compared with competitors, Octavian Robotics emphasizes end-to-end integrated automation that includes traceability and quality-control data as a standard feature. The goal is to help manufacturing plants increase throughput, reduce defects, and improve consistency through automated, auditable production lines.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Los Angeles, CA
Founded
2026

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