AI/ML Hardware Architect, Cloud, Silicon

Google Inc.; Bengaluru; On-site; INR 5,000,000 - 8,000,000; Full time

Job summary

Google is seeking an AI/ML Hardware Architect in Bengaluru to drive architecture specifications for AI/ML hardware roadmaps, work with cross-functional teams on hardware/software co-design, and own compute block microarchitecture with a focus on power and performance.

Candidates should have a Bachelor's in a related engineering field and 4+ years in relevant areas, with experience in memory hierarchies and high-performance, low-power design techniques. English proficiency is required.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 4 years of experience in architecture and micro-architecture design of graphics, ML, or managing low-precision or mixed-precision numerics, vector processors, DSP processors, or architecting networking ASICs.
• Experience in memory hierarchy, memory controllers, HBM, and DRAM technologies.

Responsibilities

• Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap; develop power/performance models and evaluate performance and power.
• Partner with hardware design, software, compiler, ML model and research teams for hardware/software co-design and interfaces; evaluate silicon solutions for AI accelerator roadmap 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; drive power, performance and area improvements and contribute to simulations tools.

Skills

Architecture design

ML hardware

C++

Python

Power/performance modeling

Education

Bachelor's degree in Electrical Engineering / Computer Engineering / Computer Science

Job description

AI/ML Hardware Architect, Cloud, Silicon

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 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.
• 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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.