AI/ML Hardware Architect, Cloud, Silicon

Google LLC; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Google LLC is seeking an AI/ML Hardware Architect for Cloud, Silicon to drive the architecture and microarchitecture of AI accelerators and related compute blocks.

You will partner with hardware, software, compiler, ML model and research teams to enable high-performance hardware/software interfaces and evaluate silicon solutions for data-center AI accelerators.

Qualifications

• 4 years of experience in architecture and micro-architecture design of graphics, ML, or related AI hardware domains.
• Experience with memory hierarchy, memory controllers, HBM/DRAM technologies.
• Strong collaboration with hardware, software, and ML teams to optimize hardware/software interfaces.

Responsibilities

• Develop architecture specifications for AI/ML compute blocks and subsystems.
• Create power/performance models and run simulations to guide design choices.
• Collaborate with design, verification, and software teams for co-design and integration.
• Own microarchitecture of compute blocks and drive power, performance, and area improvements.
• Develop and contribute to simulation and tooling for HW/SW interfaces.

Skills

Graphics architecture

ML hardware

Power/perf modeling

Education

Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science

Tools

C++

Python

Job description

AI/ML Hardware Architect, Cloud, Silicon

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X In most instances, this position requires in-person interviews as part of the hiring process.

4 years of experience in any one of the following areas: architecture and micro-architecture design of graphics, Machine Learning (ML), or managing low-precision or mixed-precision numerics, vector processors, DSP processors, or architecting networking ASICs.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• Experience in memory hierarchy, memory controllers, HBM, and DRAM technologies.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience working with software teams optimizing the hardware/software interface.
• Experience in estimating performance by analysis, modeling, and network simulation in defining and driving performance test plans.
• Experience in programming languages (e.g., C++, Python).
• Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies and high performance and low power design techniques.

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.

Responsibilities

• 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.
• Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.
• Own microarchitecture of compute blocks and subsystems. Identify and drive power, performance and area improvements for the modules owned. Develop and contribute to the simulations tools.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.