About this role
What you'll do
- Drive product engineering strategy and action across silicon bring-up, characterization, yield learning, screening, qualification support, and production ramp
- Own product health across wafer sort, final package test, characterization, and manufacturing correlation
- Partner closely with design, DFT, test engineering, reliability, quality, and manufacturing teams to ensure product readiness
- Analyze silicon and test data to identify yield issues, systematic failures, performance limiters, and opportunities to improve quality and manufacturability
- Work directly with OSATs and foundries to deploy and sustain robust product flows in manufacturing
- Make smart tradeoffs across yield, quality, screening effectiveness, performance, cost, and ramp velocity
- Improve infrastructure, automation, and analytics for product monitoring, failure analysis, and yield learning
- Operate as an individual contributor who is comfortable getting deep into silicon, data, debug, and cross-functional execution
What you'll bring
- +5 years of experience in semiconductor product engineering, test engineering, yield engineering, or a related silicon production role
- Hands-on experience with physical silicon: wafer sort and final package test in real production environments
- Strong ownership of silicon bring-up, characterization, yield analysis, and production ramp
- Deep understanding of manufacturing flows, device screening, correlation, guard banding, binning, and outgoing quality
- Strong debug instincts and data fluency — you know how to find signal in noisy silicon and manufacturing data
- Experience working cross-functionally with design, DFT, test, reliability, quality, and operations teams
- Comfortable operating with urgency, ambiguity, and a high bar for execution
- Builder mindset: you do not wait for perfect structure — you create it
- Experience validating or characterizing high-speed IP interfaces such as LPDDR, PCIe, UCIe, MIPI, and Ethernet
- Experience validating Functional Safety mechanisms
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.