Partner with the sales team to exceed targets by providing pre- and post-sales technical support (demo, application, training, testing, and commissioning).
Engage actively throughout the sales cycle — from deal qualification to benchmarking and closure.
Be a go-to expert in customer applications and highlight technical advantages that win deals.
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Develop strategic supplier capabilities to effectively support Keysight's overall sourcing and technical requirements, providing technical recommendations as needed
Actively explore and source new technologies through market research to meet Keysight's future requirements
Lead cost saving initiatives projects with product leads on alternative material and part recommendations and qualification plans that meet Keysight product requirements
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Research and propose alternative parts with effective solutions in consideration of avoiding major software & product calibration, hardware topology changes to replace EOL parts in NI products.
Implement and simulate designs through CAD and synthesis tools. i.e. Mentor Graphics.
Verify and validate designs of hardware re-designs. Debug any issues that may arise.
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Set up, troubleshoot, and recover complex downtime issues for test equipment, including Testcell, Tester, Bagger, VDCS, and Conveyor systems, with minimal supervision.
Proven experience leading and supporting Continuous Improvement Projects (CIP) to improve equipment performance, reduce downtime, enhance OEE, and optimize manufacturing processes.
Troubleshoot and resolve Testcell yield issues to maintain product quality, throughput, and equipment stability.
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Candidates should possess strong Product Engineering skills, including experience with product lifecycle management, test and measurement systems, and manufacturing support.
Candidates should possess skills to understand design validation, and continuous enhancement of existing products. Should be able to handle multiple product sustaining with maintaining yield targets.
Candidates should possess Analytical Skills to interpret test data, identify root causes, and drive data-informed decisions for product quality and performance.
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