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Nokia

Principal Process Integration Engineer

Posted 4 Days Ago
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In-Office or Remote
Hiring Remotely in United States
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
Own wafer quality, reliability, and yield for InP-based photonic integrated circuits. Analyze process deviations and test failures, establish fab specifications and capability monitoring, drive yield improvements, define design rules and test structures, and support technology transfer, production ramp, and next-generation PIC development. Collaborate cross-functionally to improve process stability, throughput, and cycle time.
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The Principal Process Integration Engineer is responsible for ensuring the quality, reliability, and yield of InP-based Photonic Integrated Circuit (PIC) products. This role plays a key part in ramping high-volume production and works cross-functionally to troubleshoot and optimize wafer fabrication processes, resolve yield issues, and support next-generation PIC platform development.

Responsibilities

· Own wafer quality and yield using deep knowledge of fab processes, device physics, and test/reliability data

· Analyze process deviations and test failures to identify root causes and implement corrective actions

· Establish, maintain, and monitor inline fab process specifications and capability (CPK)

· Drive yield improvement initiatives from concept through qualification and production release

· Define design rules and develop test structures for effective process control

· Support technology development, transfer, and manufacturing ramp for next-generation PIC platforms

· Partner with Process Engineering to improve process stability and capability

· Collaborate with Operations to improve throughput and reduce cycle time

Qualifications

· MS or Ph.D. in Electrical Engineering, Materials Science, Physics, Chemical Engineering, or a related field

· 10+ years of experience in semiconductor wafer fabrication

· Hands-on experience with III-V processes, including epitaxy, wet and dry etching, photolithography, and metal deposition

· Strong understanding of semiconductor processes and device physics

· Proven analytical and problem-solving skills with proficiency in data analysis tools (e.g., JMP, Python)

· Experience with SPC, DOE, and yield optimization methodologies

· Excellent communication skills with the ability to present technical work to diverse stakeholders

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