black.ai is looking for a Principal Characterization-Failure Analysis Engineer in Milpitas, California. The role focuses on thermomechanical characterization and failure analysis of sub-assemblies and silicon dies, requiring deep mechanical and thermal engineering knowledge. Ideal candidates will have a Master's degree and over 10 years of experience in opto-mechanical assembly failure analysis. The base pay ranges from $165,000 to $200,000 USD, with higher rates for the Bay Area.
Qualifications
10+ years of experience applying engineering principles to debug complex failures.
Excellent written and verbal communication skills.
Demonstrated strong analytical and problem-solving skills.
Responsibilities
Diagnose failures using root cause analysis.
Perform failure mode and effects analysis (FMEA).
Process data using tools like Python and MATLAB.
Manage projects under tight deadlines.
Skills
Root cause analysis
Failure mode and effects analysis (FMEA)
Python
MATLAB
JMP
Mechanical vibrations characterization
Thermography
Mechanical load testing
Education
Master’s degree in Engineering or Applied Physics
Job description
black.ai is looking for a Principal Characterization-Failure Analysis Engineer in Milpitas, California. The role focuses on thermomechanical characterization and failure analysis of sub-assemblies and silicon dies, requiring deep mechanical and thermal engineering knowledge. Ideal candidates will have a Master's degree and over 10 years of experience in opto-mechanical assembly failure analysis. The base pay ranges from $165,000 to $200,000 USD, with higher rates for the Bay Area.