Principal Robotics Engineer (Robotics Solutions & Integration)

Solution Evaluation & Technology Strategy

Evaluate robotics, automation, sensing, and manipulation solutions from vendors, startups, and research institutions. Conduct technical due diligence and gap analysis. Develop build-versus-buy recommendations. Identify opportunities to leverage existing technologies before pursuing custom development.

Vendor Engagement

Engage with robotics vendors, automation suppliers, and research partners. Define technical requirements and interface specifications. Establish performance benchmarks and validation criteria.

System Architecture & Integration

Define overall robotic automation architecture. Integrate robotic systems with ATTs. Define mechanical, electrical, software, and safety interfaces. Support deployment, testing, and field validation.

Robotics Development & Prototyping

Where commercial solutions are insufficient: Design and prototype robotic manipulation solutions. Develop perception, localization, and control algorithms. Design end-effectors and automation mechanisms. Implement robotic motion planning and controls. Analyze operational data and improve system robustness and reliability.

Required Experience

• Educational Background: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Mechatronics, or a closely related discipline with a strong focus on robotics.
• Experience: 8+ years of robotics industry experience, preferably involving real-world deployment of robotic systems. Proven track record delivering robotic solutions from concept through deployment. Experience evaluating, selecting, and integrating third-party robotics technologies. Experience with industrial robotic platforms such as ABB, Fanuc, KUKA, Yaskawa, Universal Robots, Franka, or equivalent systems. Strong experience in several of the following areas: Robotic manipulation and industrial robotics Motion planning and robot controls Computer vision and pose estimation Sensor fusion and perception systems Industrial automation and system integration Safety-critical robotic systems Experience with modern AI-driven robotics approaches is highly desirable, including: End-to-end robotic learning systems Vision-Language-Action (VLA)/VLM models Learning-based manipulation Imitation learning Reinforcement learning Foundation models for robotics
• Software & Development: Hands-on experience with C++, Python, ROS / ROS2, MoveIt or equivalent robotics frameworks and Robot kinematics and controls. The candidate should be capable of personally developing prototypes, validating technical approaches, and troubleshooting field issues when required.