Semiconductor Component Engineer

Semiconductor Component Engineer

The application window is expected to close on : 11 / 21 / 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Members of the Supply Chain organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.

Meet the Team

This role will join the Semi & Optics team withing Cisco's Component Quality and Technology Group in Supply Chain. You'll work with world-class professionals in Component Engineering, Quality, Design, and Supply Chain enabling innovation at the heart of Cisco's Optics portfolio.

Your Impact

Conduct component management tasks for a range of semiconductor components (buffers, FETS, crystals, oscillators, memories, processors, FPGAs, ADC / DAC, discrete), and off-the shelf (OTS) power supplies

Maintain and update component records ensuring accuracy and compliance

Review and process new part requests by evaluating datasheets, MPNs, attributes, and compliance classification

Ensure all new parts meet JEDEC reliability standards and Cisco documentation requirements

Estimate NPI part lifetime estimates to ensure long-term availability and reliability

Review and assess semiconductor PCNs; verify and qualify changes before implementation

Review EOL / LTB notices, explore alternates, work with Design teams to mitigate risks and adapt alternate parts

Assist in preparation and review of technical and compliance documentation

Work closely with cross-functional teams including design, supply chain and quality assurance

Minimum Qualifications :

BS / MS in Electrical Engineering, Electronics, or a related field

2+ years of experience in semiconductor component engineering, component management or a similar role

Experience with database-driven component management and technical documentation

Preferred Qualifications

Familiarity implementing machine learning (ML) or artificial intelligence (AI) methods with engineering workflows

Ability to interpret complex datasheets and technical documents to support informed decision making

Familiarity with JEDEC reliability standards and industry best practices

Detail-oriented, organized, and possesses effective problem-solving skills

Strong communication and presentation skills and ability to thrive in a collaborative, fast-paced environment

Willingness to learn and grow in the role

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