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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