hireejobs
Register for Job
Hyderabad Jobs
Banglore Jobs
Chennai Jobs
Delhi Jobs
Ahmedabad Jobs
Mumbai Jobs
Pune Jobs
Vijayawada Jobs
Gurgaon Jobs
Noida Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

EDA/CAD Custom Tool Development Engineer, Google Cloud

5.00 to 8.00 Years   Bengaluru/ Bangalore (Karnataka)   18 May, 2025
Google India Pvt Ltd
Job LocationBengaluru/ Bangalore (Karnataka)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustryInternet/Dot com/ISP
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

: EDA/CAD Custom Tool Development EngineerCompany: GoogleLocation: Bengaluru, Karnataka, IndiaExperience Level: MidMinimum qualifications:

  • Bachelors degree or equivalent practical experience.
  • 5 years of experience in ASIC Chip Design.
  • 5 years of experience with hardware electronic design automation tools.
  • Experience in Python/Cprogramming.
  • Experience in writing code and design practices.
Preferred qualifications:
  • Experience planning and deploying new tools and flows to users.
  • Experience in AI/ML methods for ASIC development.
  • Knowledge of chip design processes such as verification, design, and implementation.
  • Ability to present and explain novel methods to users.
  • Strong programming/software skills like C/C /Python.
About the jobIn this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Googles most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Googles TPU. Youll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will help deliver products that have a substantive impact on the technical infrastructure. You will provide leadership in an innovative and fast-paced environment with a focus on infrastructure for chip design. Youll also lead complex technical projects from the concept/planning stage through execution and closure. You will enable the wider team to deliver designs of different application areas, including ML/AI acceleration by developing tools relying on AI/ML techniques. You will lead end-to-end chip design process improvement projects.The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities:
  • Partner with the Google Deepmind team to incorporate AI/ML techniques in chip design methodology and integrate into development flow.
  • Partner with Chip Project teams to influence and standardize methodology across projects and functional areas (e.g., Design, Verification, Emulation, and other front-end domains).
  • Propose, design, and implement software automation addressing bottlenecks in todays ASIC and SoC EDA flow. Perform or guide technical evaluations of tools and their AI capabilities, and drive planning for possible deployment.
  • Lead the development of internal software tools and automation efforts, participate in design reviews, and engage in influencing and scheduling trade-off discussions. Collaborate to identify and create strategic opportunities for improved chip design across Google.
  • Work directly with a hardware team on projectsprototype and deploy tools to make a positive impact on Googles chip hardware development process.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.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 Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.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.

Keyskills :
asic chip design electronic design automation python programming c programming ai/ml techniques security machine learning infrastructure

APPLY NOW

EDA/CAD Custom Tool Development Engineer, Google Cloud Related Jobs

© 2019 Hireejobs All Rights Reserved