Network simulation jobs

AI/ML Hardware Architect, Cloud, Silicon

Google · Posted Nov 6, 2026

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products.

Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap.
Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis.
Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software co-design, creating high performance hardware/software interfaces.
Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets.
Create high performance hardware/software interfaces.

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
Nice to have: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science
Nice to have: experience working with software teams optimizing the hardware/software interface
Nice to have: experience in estimating performance by analysis, modeling, and network simulation
Nice to have: experience in programming languages (e.g., C++, Python)