Hardware Architecture Modeling Engineer, Accelerators

Job Description

The Hardware Architecture Modeling Engineer role at Google involves shaping the future of AI/ML hardware acceleration by working on cutting-edge TPU technology and contributing to custom silicon solutions for AI/ML applications.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in computer architecture performance analysis, or a PhD degree in lieu of industry experience.
• Experience in developing software systems in C++ or Python.

Responsibilities

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

Benefits

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