VLSI Physical Design / APR Engineer

Posted 3 Days Ago
Be an Early Applicant
Hsinchu County, TWN
In-Office
Mid level
Artificial Intelligence • Computer Vision
The Role
Design and implement VLSI physical design for advanced nodes (2nm and below): floorplanning, timing/signal/power closure, DFM, physical verification, and development of physical design flows. Collaborate with team and use industry EDA tools (Innovus/ICC2 preferred).
Summary Generated by Built In
AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Job Description:

1. VLSI Advance Technology Node (2nm and Below) Physical Design Implementation.
2. Comprehensive scope to touch, including chip floorplanning, a variety of design closures on timing, signal integrity, power integrity, DFM as well as physical verifications.
3. Develop physical design flows/solutions on the cutting edge technology node.

Job Requirements:

1. Good communication skill, enthusiasm, responsible, opened minded and team work spirit.
2. Studied VLSI design related courses.
3. Familiar with industrial ASIC design flow is a plus.
4. Had the experience on the EDA tool of Innovus or ICC2 is a plus.

Skills Required

  • Good communication skills, enthusiasm, responsible, open-minded, team-oriented
  • Studied VLSI design related courses
  • Familiar with industrial ASIC design flow
  • Experience with EDA tools Innovus or ICC2
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The Company
HQ: Santa Clara, CA
658 Employees
Year Founded: 2004

What We Do

Ambarella (Nasdaq: AMBA) is a leading developer of visual AI products. Our technologies enable a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com

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