Celestial AIposted 2 months ago
$185,000 - $225,000/Yr
Full-time • Mid Level
Santa Clara, CA

About the position

Celestial AI is seeking an experienced Package Reliability Engineer with expertise in 2.5D/3D advanced packaging. The ideal candidate will have a strong background in physics of failure, materials science, and experience working closely with OSATs to drive package reliability improvements. This role requires collaboration with external assembly and test partners, internal design, process, and failure analysis teams, and suppliers to ensure the reliability and manufacturability of cutting-edge semiconductor packages.

Responsibilities

  • Conduct physics of failure (PoF)-based reliability modeling for 2.5D/3D advanced packaging.
  • Assess package reliability risks from thermal, mechanical, and electrical stressors.
  • Define and execute stress test plans (e.g., thermal cycling, humidity, electromigration) to validate package robustness.
  • Work closely with OSAT partners to drive package reliability improvements, process optimizations, and yield enhancements.
  • Define reliability requirements, review test methodologies, and ensure OSAT compliance with JEDEC and industry standards.
  • Monitor and evaluate OSAT performance in executing reliability qualifications and failure analysis.
  • Support supplier audits and technical reviews to assess manufacturing capabilities and reliability processes.
  • Evaluate and select materials (substrates, dielectrics, adhesives, underfills) for optimal reliability.
  • Analyze CTE mismatches, warpage, delamination, and interfacial adhesion issues.
  • Work with material suppliers and OSATs to qualify new materials for advanced packaging applications.
  • Lead failure mode analysis (FMEA), model-based problem solving (MBPS) and determine root causes of package failures using techniques such as FIB, X-ray, SEM, and TEM.
  • Identify and mitigate interfacial failures, cracking, voiding, electromigration, and stress-induced damage.
  • Drive OSATs and internal teams to implement corrective and preventive actions (CAPA).
  • Work cross-functionally with internal design, process, and manufacturing teams to define assembly test vehicles and optimize package architectures.
  • Develop and refine design guidelines, process improvements, and reliability best practices.
  • Stay up to date with industry standards (JEDEC, IPC, IEEE, etc.) and implement best practices in package reliability.

Requirements

  • Master’s or Ph.D. in Materials Science, Mechanical Engineering, Electrical Engineering, Applied Physics, or a related field.
  • 5-10 years of hands-on experience in 2.5D/3D advanced packaging reliability.
  • Deep understanding of physics of failure (PoF) methodologies for package reliability.
  • Strong knowledge of materials science, particularly in interconnects, substrates, and interfaces.
  • Proficiency in stress modeling tools (ANSYS, Abaqus, COMSOL, etc.) for thermo-mechanical analysis.
  • Experience with failure analysis techniques such as C-SAM, X-ray CT, SEM, TEM, FIB, and EBSD.
  • Proven track record of working with and driving OSAT partners for package reliability, yield, and continuous quality improvements.
  • Experience managing OSAT qualifications, failure analysis, and corrective actions.
  • Familiarity with supplier engagement, reliability testing at OSATs, and package process flows.
  • Familiarity with JEDEC, IPC, IEEE, and MIL-STD reliability standards.
  • Strong analytical, problem-solving, and cross-functional collaboration skills.

Nice-to-haves

  • Experience in heterogeneous integration, fan-out packaging, chiplet architectures.
  • Knowledge of electrical reliability mechanisms (e.g., electromigration, time-dependent dielectric breakdown).
  • Expertise in AI-driven reliability modeling or machine learning for failure prediction.

Benefits

  • Competitive base salary.
  • Bonus structure.
  • Generous grant of early-stage equity.
  • Health, vision, dental, and life insurance.
  • Collaborative and continuous learning work environment.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service