Power IC Product Engineer: NPI, Characterization & Yield

Ferric, Inc.

Santa Clara (CA)

On-site

USD 125,000 - 185,000

Full time

14 days+
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Job summary

Ferric, Inc. in Santa Clara, CA, is seeking an IC Product Engineer to manage the full lifecycle of power management ICs, collaborating with IC designers, test & application engineers, assembly teams, vendors, the fab, and customers.

You will develop, characterize, qualify and production-release Ferric’s power management ICs, lead NPI, reliability hardware, yield analysis, and data-driven optimization. Strong Python scripting will help automate characterization.

Qualifications

  • Bachelor’s Degree in EE is required.
  • 3+ years of industry experience with ATE, preferably on 93K.
  • Familiar with reliability, burn-in design, data analysis, automation, cost reduction, and customer support.
  • Experience across the semiconductor product life cycle from post-silicon bring-up to production sustenance.
  • Strong data analytics for power semiconductors; able to write concise engineering reports.

Responsibilities

  • Create/review test plans with IC design and test teams, including DFT/DFQ recommendations.
  • Develop and characterize new assembly processes with manufacturing.
  • Characterize products across PVT on ATE and bench.
  • Establish ATE production test limits; disposition Wafer sort and Final test.
  • Design reliability hardware; support product qualification and yield enhancement.
  • Assist NPI and analyze RMA returns to determine root causes.

Skills

ATE experience
Data analysis
Automation scripting
Test development
Statistical analysis
Power semiconductors
Python scripting

Education

Bachelor’s Degree in EE
Master’s Degree in EE

Tools

Cadence Allegro
Xilinx ISE
Linux
Windows

Job description

Ferric, Inc. in Santa Clara, CA, is seeking an IC Product Engineer to manage the full lifecycle of power management ICs, collaborating with IC designers, test & application engineers, assembly teams, vendors, the fab, and customers.

You will develop, characterize, qualify and production-release Ferric’s power management ICs, lead NPI, reliability hardware, yield analysis, and data-driven optimization. Strong Python scripting will help automate characterization.

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