Physical Design and Implementation Engineer, GPU
Google · Bengaluru · onsite · Posted 52d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications:
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.
Responsibilities
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in physical design and participation in 4 chip tape outs.
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with scripting languages such as Perl, Python, or TCL.
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.
Responsibilities
- Use analytical and simulation techniques to ensure Performance, Power, and Area (PPA) is within defined requirements and develop all aspects of ASIC RTL2GDS implementation for high PPA designs.
- Collaborate with cross-functional teams to debug failures or performance shortfalls program goals in lab or simulation.
- Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
- Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.
- Manage block and full-chip level physical implementation and QoR (power, timing, area).
Sourced from foundit
Skills
ASIC RTL2GDS implementationtclscripting languagescomputer engineeringPerlelectrical engineeringPythonComputer Science
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