Silicon Validation Engineer AI/ML, Google Cloud

Google; Bengaluru; On-site; INR 3,500,000 - 8,000,000; Full time

Job summary

Google in Bengaluru is seeking an experienced ML IP Architect to design and model hardware/software co-designs for custom silicon powering Google’s products. You will work on ML IPs, RTL-knowledge, and architecture-aware simulations across pre- and post-silicon validation.

The role emphasizes deep C++ proficiency, collaboration with cross-functional teams, and contributing to scalable hardware acceleration platforms. Equal opportunity employer.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in simulating hardware IPs or a PhD.
• Experience with modern C++ software systems.

Responsibilities

• Study ML IP instruction set and delta features from prior generations.
• Develop functional/performance models and integrate with TPU/SoC model.
• Collaborate with pre/post-silicon verification to deploy models in validation flows.
• Coordinate with compiler/firmware teams to accelerate development

Skills

C++ development

Simulation modeling

Hardware IP knowledge

Education

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

2 years experience in sim models for hardware IPs or a PhD

Master's or PhD with emphasis on computer architecture

Job description

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 2 years of experience in developing simulation models for hardware IPs, or a PhD.
• Experience in developing software systems in modern C++.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 2 years of experience in developing simulation models for hardware IPs, or a PhD.
• Experience in developing software systems in modern C++.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in applying computer architecture principles to solve open-ended problems.
• Experience in hardware and software co-design.
• Knowledge of design of digital logic at the Register Transfer Level (RTL) using Verilog.
• Knowledge of processor design or accelerator designs and mapping ML models to hardware architectures.

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

• Study the instruction set and architecture of the Machine Learning (ML) IPs and drive discussions on the delta features from the previous generation.
• Develop functional or performance models for the ML IPs. Integrate the functional models with the Cloud TPU SoC model and deliver the single source of truth architectural reference.
• Work with pre-silicon verification and post-silicon validation teams to deploy the models into their validation flows.
• Work with compiler and software teams to enable them to left-shift their development activity.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.