Microelectronics Numerical Simulation Engineer

Google is seeking a Microelectronics Numerical Simulation Engineer to join their Technical Infrastructure team. This role is crucial in developing and implementing advanced numerical analysis for supply chain operations. The position offers an opportunity to work at the cutting edge of technology, developing simulation capabilities to deliver design guidelines, risk assessments, and recommendations for hardware devices used in Google's Technical Infrastructure.

The role combines deep technical expertise in microelectronics packaging with advanced simulation and modeling skills. You'll be working with cross-functional teams, both internal and external, to develop and validate numerical models that ensure reliable deployment of microelectronics assemblies. The position requires strong experience in thermomechanical reliability, finite element analysis, and programming languages, particularly with tools like Ansys.

As part of Google's Technical Infrastructure team, you'll be instrumental in maintaining and developing the architecture that powers Google's vast product portfolio. The team takes pride in being the "engineers' engineers," focusing on building and maintaining data centers and next-generation Google platforms. This role offers exposure to advanced technologies currently deployed and future developments on Google's product roadmap.

The position comes with competitive compensation, including a base salary range of $134,000-$198,000, plus bonus, equity, and comprehensive benefits. You'll be working in Austin, TX, where you'll collaborate with various engineering teams, including thermal, packaging, test, manufacturing, and quality engineers. This is an excellent opportunity for someone with strong technical skills who wants to impact the infrastructure powering one of the world's leading technology companies.

The ideal candidate will have at least 8 years of experience in microelectronics packaging manufacturing, with a bachelor's degree in mechanical engineering or a related field. Additional preferred qualifications include advanced degrees, experience with statistical software tools, and a track record of working in cross-functional engineering teams. This role offers significant growth potential while delivering exceptional value to Google's Technical Infrastructure.