Photonics Design Team Leader

Description

Dustphotonics develops cutting-edge technology in Silicon Photonics, revolutionizing connectivity and communication in data centres.

Silicon photonics is becoming a standard technology used for high-performance systems, solving challenges of performance, integration, power, and cost.

This technology is growing rapidly also in other markets such as Healthcare, LIDARs, and other sensors.

At Dustphotonics, we are looking to solve difficult problems, smartly and simply, by thinking out of the box, leveraging the knowledge and know-how of the team members, and working as a team to create Magic.

Our Company culture is characterized by accountability for our ethics, and for being fair to every employee, customer, supplier, and partner.

We believe we must work hard and have fun on the way to success.

We welcome you to join our team - Apply for your next career opportunity with us!

We are looking for a Photonics Design Team Leader.

Requirements

• Extensive hands-on experience with optoelectronic device simulations and measurements.
• Strong understanding of planar waveguide optics, both passive components such as waveguides, multiplexers/demultiplexers, tapers, couplers, and active components such as waveguide detectors and modulators.
• Practical lab experience with optical measurement systems - advantage.
• At least five years of experience working at R&D groups in multidisciplinary high-tech companies, or equivalent academic experience.
• PhD/MSc in a related subject. 
• Working Model: Remote.
• Traveling: Required occasionally. 

Responsibilities

• Design, model, and layout silicon photonic circuits and components.
• Recruiting, training, and leading a team of photonics design engineers to success.
• Focus on design for manufacturability; determine the performance impact across process corners, and thermal environment.
• Perform full-parametric and scripted simulations to determine novel design improvements.
• Work with the photonics test team in defining requirements for device characterization, debugging, and validation.
• Analysis of measurement data sets to determine device performance trends and include learnings in your designs and models.