招聘
Meet the Team
Join the Physical Design CAD & Methodology Team—a technically strong group responsible for developing and supporting RTL-to-GDS Physical Design implementation and signoff flows across multiple ASIC programs.
Our team works closely with Physical Design, STA, Power, Physical Verification, and Front-End teams to enable efficient execution, consistent QoR, and reliable tape-outs. We value engineers who combine hands-on technical depth with a growing sense of ownership, collaboration, and continuous improvement. If you enjoy improving flows, solving complex PD problems, and expanding your technical influence, this role is a great fit.
Your Impact
As a Physical Design Flow & Methodology Engineer, you will take end-to-end ownership of key portions of the PD flow, contributing to implementation and signoff methodology from synthesis handoff through GDS delivery.
You will develop, enhance, and maintain block- and chip-level PD flows, debug timing, power, congestion, and physical verification issues, and work closely with design teams to improve convergence and predictability. You will contribute to methodology definition, automation, and best practices, and help drive adoption across projects.
In this role, you will wok on implementation tool flows and methodologiesto enhance and add new features. Your work will have direct impact on QoR, turnaround time, and tape-out success, while allowing you to grow toward senior-level technical leadership.
Minimum Qualifications
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Bachelor’s or higher degree in Electrical Engineering, Computer Engineering, or a related field
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5+ years of experience in ASIC Physical Design, PD flow/methodology, or CAD engineering
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Hands-on experience with Physical Design implementation and tools, such as: Fusion Compiler or Innovus, Prime Time or Tempus
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Strong understanding of RTL-to-GDS Physical Design flow, including synthesis handoff, placement, CTS, routing, and ECOs
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Solid experience with timing, power, and physical verification signoff
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Proficiency in at least one scripting language (Tcl, Python, or Shell)
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Ability to independently debug flow, tool, and QoR issues and propose improvements
Preferred Qualifications
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Experience contributing to PD flow automation and methodology enhancements
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Familiarity with ASIC signoff collateral, including: Liberty (.lib), LEF/DEF, GDS; SDC, SPEF, SDF
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Multi-voltage design experience
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Understanding of MCMM timing and signoff strategies
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Exposure to power integrity analysis (IR drop, EM/EMIR)
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Experience supporting or mentoring junior engineers
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Strong attention to detail with a focus on quality, reproducibility, and maintainability
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Ability to clearly document flows and communicate methodology updates to users
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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About Cisco

Cisco
PublicCisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.
10,001+
Employees
Barcelona
Headquarters
$317B
Valuation
Reviews
3.4
3 reviews
Work Life Balance
2.0
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Culture
2.5
Career
2.5
Management
2.0
25%
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Good for resume/interviews
Recognized brand name
Cons
Poor communication/ghosting candidates
Work-life balance concerns
Overwork culture
Salary Ranges
0 data points
L2
L3
L4
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$70,294
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Interview Experience
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3.0
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Duration
14-28 weeks
Experience
Positive 0%
Neutral 25%
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1
Application Review
2
Phone Screen
3
Technical Interview Round 1
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Technical Interview Round 2
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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