Minimum qualifications:
- Bachelor's degree in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- 8 years of experience in microelectronics packaging (e.g., multi-chip modules, silicon photonics).
- Experience with Finite Element Analysis and Computational Fluid Dynamics and programming languages like ANSYS (e.g., APDL, Workbench, Icepak), Flotherm, LS-Dyna, Abaqus, Fluent, Icepak, Matlab, Python.
- Experience in thermomechanical reliability and mechanical drop or shock simulation.
- Experience with Statistical Software tools (e.g., JMP, Weibull++, SPSS).
Preferred qualifications:
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- Experience in setting up manufacturing assembly processes, driving product launches and assembly process optimization within manufacturing operations.
- Experience in technical leadership, project management, and executive communication.
- Experience in Coupled Field/Multiphysics, Thermal-Electric simulations, Fluid-Solid Interaction.
- Experience in reliability prediction models, stochastic simulations, uncertainty analysis, multi-scale and multiobjective optimization.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $138,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Responsibilities
- Partner with stakeholders internally and externally to develop numerical models that help in understanding material, configuration, manufacturing, and reliability trade-offs in electronic assemblies.
- Develop numerical models to capture different failure modes and physical phenomena expected during the entire microelectronics device lifecycle design, manufacturing, assembly, testing, and field operation.
- Partner with thermal, packaging, test, manufacturing, reliability and quality engineers to develop validated simulation-based design guidelines to ensure deployment of microelectronics assemblies.
- Design and develop test vehicles to generate experimental data required for model validation and enhancement.
- Participate in the development of roadmaps for materials, models and infrastructure required for numerical models in local and cloud based simulation environments. Attend conferences, standards bodies and related industry forums to get updated of the latest developments in numerical analysis.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also
Google's EEO Policy and
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