Senior Silicon Photonics PIC Platform Engineer — NPI & Yield

Arycs Technologies; Los Gatos (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401(k) plan

Medical, dental, and vision benefits

Flexible PTO

Job summary

Arycs Technologies seeks a Silicon Photonics PIC Platform Engineer to drive external foundry engagement and backing for advanced photonic integrated circuits. You will translate process capabilities into product requirements and enable high-volume manufacturing with data-driven problem-solving across internal teams and external partners.

The role emphasizes process qualification, reliability validation, and collaboration with Design, Product Development, and Operations to optimize cost and

Qualifications

• 5+ years in semiconductor process engineering, yield engineering, or foundry interface roles.
• Direct experience with silicon photonics, CMOS, or advanced semiconductor fabrication preferred.
• Ability to interpret optical and electrical performance data and relate to process variation.

Responsibilities

• Lead technical engagement with silicon photonics foundries and wafer backend partners through the full process lifecycle.
• Drive NPI for silicon photonics PICs from early development to production release.
• Monitor wafer fabrication and backend yield with data-driven methods.
• Lead root cause analysis and continuous improvement initiatives.
• Collaborate with PIC Design, Product Development, Test, Reliability, and Operations teams.
• Support process qualification and reliability validation per industry standards.

Skills

Cross-functional communication

Analytical mindset

Problem solving

External partner management

Education

Bachelor’s/Master’s/PhD in Electrical Engineering, Materials Science, Physics

Tools

JMP

Python

MATLAB

Job description

Arycs Technologies seeks a Silicon Photonics PIC Platform Engineer to drive external foundry engagement and backing for advanced photonic integrated circuits. You will translate process capabilities into product requirements and enable high-volume manufacturing with data-driven problem-solving across internal teams and external partners.

The role emphasizes process qualification, reliability validation, and collaboration with Design, Product Development, and Operations to optimize cost and