As Robotics Lead, you will take ownership of our next-generation robotic arm control and AI-driven vision-based manipulation systems. You will be responsible for scaling a high-performance robotics team while driving technical innovation and product development.

This role is ideal for a seasoned robotics engineer and team leader who thrives in a fast-growing startup or has experience in established robotics and industrial automation companies (e.g., Tesla, Boston Dynamics, ABB, Fanuc, Kuka, Universal Robots, NVIDIA Robotics).

You will be responsible for defining the robotics technology roadmap, ensuring best-in-class control, planning, and perception algorithms are integrated into our scalable, real-world automation solutions.

Tasks

Lead & Scale the Robotics Team – Hire and manage a high-performing engineering team, driving innovation in robot control, AI-driven vision, and motion planning.
Define & Execute the Robotics Roadmap – Develop advanced control algorithms and ensure seamless integration of ROS 2, AI-based perception, and real-time automation.
Optimize Industrial Robotics Solutions – Enhance collision-free planning, inverse kinematics (IK), trajectory generation, and autonomous execution for real-world applications.
Drive Simulation & Deployment – Leverage Isaac Sim, Gazebo, and NVIDIA Omniverse to accelerate development and real-world implementation.
Enable Cross-Functional Collaboration – Work with AI, mechanical, and electrical engineering teams to create scalable, intelligent robotic automation solutions

Requirements

Who You Are

Robotics & Automation – 10+ years in robotics engineering, motion planning, control systems, and industrial automation, with hands-on experience in robot perception, AI-driven vision, and real-time control.

Leadership & Team Management – Proven experience leading engineers in high-growth startups or industrial robotics companies.

Technical Proficiency – Strong coding skills in ROS 2, C++, Python, with expertise in kinematics, inverse kinematics (IK), trajectory optimization, and dynamic motion control.

Industrial Deployment Experience – Successfully deployed robotic automation solutions in manufacturing environments, integrating with industrial frameworks.

Passion for Innovation – Deep interest in next-gen robotics, AI-powered automation, and intelligent autonomous systems.

Nice to Have

Experience with NVIDIA Isaac Sim, Omniverse, and reinforcement learning for robotics.
Expertise in precision planning, real-time control, and trajectory optimization.
Knowledge of MoveIt, OpenCV, BehaviorTree.CPP, ros2_control, and deep learning for robotic vision.
Experience in automotive, electronics assembly, and precision manufacturing robotics.

If not every skill is applicable to you - please feel free to apply anyways.

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