The Hardware Architecture Modeling Engineer role at Google focuses on shaping the future of AI/ML hardware acceleration, specifically through the development of Tensor Processing Units (TPUs). The position involves working with hardware and software architects to model and analyze next-generation TPUs. The team is dedicated to pushing the boundaries of custom silicon solutions that support Google's AI/ML applications. This role offers the opportunity to contribute to groundbreaking innovations that impact millions of users worldwide.

• PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Experience in a domain of computer engineering or silicon engineering through internships, academic research, or publications.
• Experience programming in C++.

• Develop architectural and micro architectural models to enable quantitative analysis.
• Conduct performance and power analyses and quantitatively evaluate proposals.
• Contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design.
• Collaborate with partners in hardware design, software, compiler, and Machine Learning model teams for hardware/software co-design.
• Propose capabilities and next-generation TPUs and contribute to TPU chip specifications.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.