Microelectronics Numerical Simulation Engineer

Minimum qualifications:

• Bachelor's degree in Mechanical or equivalent practical experience.
  
• 5 years of experience in microelectronics packaging (e.g., multi-chip modules, silicon photonics).
  
• Experience in thermomechanical reliability prediction, mechanical drop/shock simulation.
  
• Experience with Finite Element Analysis and Computational Fluid Dynamics and programming languages: ANSYS (APDL, Workbench, Icepak).
  

Preferred qualifications:

• Experience with test vehicles and experimental validation of simulation models.
  
• Experience in performing risk assessments based on failure data and incomplete information.
  
• Experience with Statistical Software tools, Flotherm, Abaqus, Matlab, Python.
  
• Experience working in cross-functional engineering teams including internal and external organizations.
  

About the job

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Partner with key stakeholders internally and externally to develop numerical models evaluating and assessing manufacturing and reliability trade-offs.
• Develop scalable numerical models to capture different failure modes and physics phenomena expected during the entire microelectronics device life-cycle such as design, testing, assembly, test, field operation.
• Partner with thermal, packaging, test, manufacturing, quality and reliability engineers to develop validated simulation-based design guidelines to ensure rapid and reliable deployment of microelectronics assemblies.
  
• Envision and execute test vehicles to generate experimental data for model validation and enhancement.
  
• Participate in the development of roadmaps of materials, models and infrastructure required to scale numerical models in local and cloud based simulation environments. Attend conferences, standards bodies and other industry forums to keep abreast of the latest developments in numerical analysis.