We are seeking a highly skilled R&D Systems Engineer who technical expertise to implement strategies, evaluate products, and build upon an infrastructure that supports the changing needs of our customers. In this role, you will lead the design, development, and integration of complex, cutting-edge robotic systems.
Responsibilities:
* Lead the design and development of multidisciplinary systems, encompassing mechanical, electrical, and software components.
* Create detailed design documents such as system architecture diagrams, schematics, and technical specifications.
* Collaborate closely with product teams to understand customer needs and translate them into technical requirements for robotic system design.
* Work collaboratively with cross-functional teams including Quality Control (QC), New Product Introduction (NPI), Software Engineering, Hardware Engineering, Mechanical Engineering throughout the system development process.
* Lead the integration phases by coordinating efforts across different teams involved in hardware integration.
* Develop control algorithms to enable precise movement and manipulation of robots; implement these algorithms in software.
* Collaborate with CTO teams to ensure compliance with company-wide technology standards and guidelines during the entire development process.
* Test and validate performance of robotic systems; collaborate with QC team on testing activities.
* Troubleshoot technical issues that arise during the development process or in deployed robotic systems.

For our computer vision team conducting cutting edge R&D for medical laser applications, we are looking for an experienced algorithms and AI engineer who will:

1. Lead independent research and development of solutions for skin analytics in the field of computer vision, machine learning and deep learning.

2. Implement algorithms in working platform prototypes.

3. Cooperate with clinicians, cross-functional R&D teams including physicists, software, system engineer and with professional subcontractors.

4. Support data management team.

5. Create and maintain documentation for image processing algorithms, code, and models.