Google India invites applications for ASIC Design Engineer, Machine Learning in Bangalore. Check the details below to apply for this job!
About Google
Google is an American MTC focused on search engine technology, online ad, Cloud Computing, Computer Software, E-Commerce, AI, and customer electronics. Google has many unique traits to help you find exactly what you’re looking for.
Job Description
- As a Hardware Engineer, you design and build the systems that are the heart of the world’s largest and most powerful computing infrastructure.
- You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high-volume manufacturing.
- Your work has the potential to shape the machinery that goes into our cutting-edge data centres affecting millions of Google users.
- With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data centre facility, including construction and equipment installation/troubleshooting/debugging with vendors.
Responsibilities
- 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 PhD 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.
How to Apply?
Candidates can apply through this link.
Location
Bangalore
