Google Recruitment 2023 For ASIC Design Engineer, Freshers Eligible

This job posting for an ASIC Design Engineer position in 2023 is for people who are interested in working for Google. You can make approx ₹ 1,00,000 per month. Please read the entire article for more information. The application form is already started.

If you’re interested in applying for Google Recruitment, you can follow the link provided at the end of the article and visit the careerbywell page. From there, you can review the job requirements and responsibilities, and submit your application online before the deadline.

About Google

Google was founded on September 4, 1998, by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University in California. Google LLC is an American multinational technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as “the most powerful company in the world and one of the world’s most valuable brands due to its market dominance, data collection, and technological advantages in the area of artificial intelligence.

Google Recruitment 2023 Overview

Job Role	ASIC Design Engineer
Qualification	B.E./B.Tech
Experience	Freshers
Type of Job	Private Job
Salary	approximately ₹ 1,00,000/ Month
Start Date	–
End Date	ASAP

Google Recruitment 2023 Roles & Responsibility

• Set technical direction for the team within the capacity of technical lead and people manager.
• Architect, design, and implement digital logic using Chisel, Verilog, and/or SystemVerilog.
• Engage with Machine Learning System Architects and Software teams to define specifications.
• Engage with Verification and Silicon Validation teams to ensure the functionality of the design.
• Provide input on synthesis, timing closure, and Physical Design of digital blocks.

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering or equivalent practical experience.
• Experience working with computer architecture/memory subsystem architecture
• Experience working with Power/performance/area trade-offs

Preferred Qualifications

• Master’s degree or Ph.D. in Electrical Engineering or equivalent practical experience.
• Experience with power, area, and performance trade-offs of digital designs and architectures.
• Knowledge of accelerators (e.g., Machine Learning or GPUs) or similar high-performance designs.

Selection Process

• officially mentioned but there will be an interview stage in the recruitment process.