Silicon Manager at Dustphotonics

Modiin-Maccabim-Reut, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

17 Jan, 26

Salary

0.0

Posted On

19 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Electrical Engineering, Physics, Materials Science, Silicon Photonics, Data Analysis, Yield Engineering, Process Debug, Root Cause Investigation, Data Management, Communication Skills, Problem-Solving, Cross-Functional Collaboration, Python, MATLAB, SQL, JMP

Industry

Telecommunications

Description

Description Dustphotonics is a developing cutting-edge technology in Silicon Photonics which is revolutionizing connectivity and communication in the data centers. 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 the difficult problems, in a smart and simple way, by thinking out of the box, leveraging the knowledge and know-how of the team members, and work as team to create Magic. Our Company culture is characterized by accountability for our ethics, 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 Silicon Manager specializing in data flow management Job description: As a Silicon Data Flow Manager you will be responsible for improving silicon-photonics yield and performance through data-driven analysis, cross-functional collaboration and proactive issue resolution. You will serve as the key interface between R&D, Process, and Production teams, ensuring efficient data flow, rapid issue identification and continuous process improvement across wafer fabrication, device testing, and packaging stages. Requirements B.Sc. or higher in Electrical Engineering, Physics, Materials Science or a related discipline. 5+ years of experience in semiconductor or silicon-photonics process, test, or yield engineering. Proven experience performing silicon process and chip-level data analysis, establishing correlations between chip and wafer performance. Hands-on experience in process debug and yield loss analysis, including root cause investigations and implementation of corrective actions. Strong technical understanding of silicon device fabrication, testing and characterization processes. Experience coordinating data flow and communication between R&D and Production teams. Proficiency in data analysis and management tools (e.g., Python, MATLAB, SQL, JMP). Excellent problem-solving, analytical and communication skills with attention to detail. Ability to work effectively in a cross-functional environment and manage multiple priorities. Responsibilities Perform silicon process and chip-level data analysis, establishing correlation between chip and wafer performance. Lead process debug and yield loss analysis at chip/wafer level, driving root cause investigations and corrective actions. Manage engineering approval forum to release production material. Collaborate closely with vendors to implement new product tests and resolve technical/process issues. Act as a key interface between design, testing, and production teams, ensuring alignment across the product lifecycle Oversee and coordinate the transfer of data related to silicon design, testing, fabrication, and characterization between Production and R&D departments. Develop and implement data management strategies to ensure data accuracy, security, and accessibility. Maintain proper documentation of data transfer protocols, version control, and data integrity checks. Support data analysis efforts to improve silicon performance, yield, and quality. Ensure compliance with company policies and industry standards related to data security and confidentiality.

Responsibilities

The Silicon Data Flow Manager will be responsible for improving silicon-photonics yield and performance through data-driven analysis and cross-functional collaboration. This role involves serving as the key interface between R&D, Process, and Production teams to ensure efficient data flow and continuous process improvement.