5693 Semiconductor Product Engineer jobs in San Jose,CA

Senior Product Lifecycle Management (PLM) Analyst

Cognizant

Mountain View, CA 94039

Bachelor's degree in Engineering, Supply Chain, Information Systems, Business, or equivalent practical experience.
5–7+ years of experience implementing, optimizing, and heavily supporting the Oracle Agile PLM system in a fast-paced hardware manufacturing environment.
Deep understanding of NPI hardware lifecycles, global supply chain principles, and ERP integrations (Oracle E-Business Suite or SAP modules such as PIM, Inventory, and Order Management).
Global Collaboration: Proven ability to partner effectively with international contract manufacturers and cross-functional engineering teams.
Only local candidates will be considered that do not need to relocate.

Keysight Technologies

Santa Clara, CA 95051

Bachelor's or Master's degree in Mechanical Engineering, Physics, Optical Sciences, or a closely related technical discipline.
2-5 years of experience working in manufacturing environment.
Strong communicator who collaborates effectively across functions and supports technical discussions with data and analysis.
Demonstrated ability to think critically and work independently to develop ideas and translate new concepts into practical, results-driven solutions.

Samsung Electronics Co.

Mountain View, CA 94040

KCH Staffing

San Jose, CA 95134

SPT Microtechnologies USA

San Jose, CA 95123

Super Micro Computer

San Jose, CA 95112

BS/MS in Electrical Engineering, Industrial Engineering, Computer Science, or related field preferred; minimum 2 years of work experience in production or industrial settings, with focus on server troubleshooting and automation
Hands-on experience with production automation enhancement, AOI, and inspection/test coverage for server assemblies; familiarity with PLC programming, HMI, and network protocols (Modbus, OPC UA)
Able to read and understand Bills of Material, schematics, and data sheets; holding relevant IPC certifications is advantageous
Proficiency in lean tools (Six Sigma, 5S, Kaizen) and technical instruments like oscilloscopes, multimeters, or diagnostic software for root cause analysis in automated environments
Basic or familiar with Windows and Linux operating systems; experience developing scripts for process optimization
Analytical mindset with strong problem-solving abilities; good communication skills in English, both written and verbal
Ability to work in a fast-paced environment, manage multiple tasks, and provide flexible support as needed
Experience or knowledge in AI infrastructures for AI factory operations as a major plus to help build our capabilities
Junior positions available for candidates interested in lean manufacturing careers with emphasis on automation and server quality improvement