Senior Physical Design Engineer: High-Performance IP

AMD

Santa Clara (CA)

On-site

USD 180,000 - 230,000

Full time

12 hours ago
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Job summary

AMD in Santa Clara seeks a collaborative Physical Design Engineer to drive RTL-to-GDS implementation for high-performance SerDes IP. You will contribute across synthesis, floorplanning, timing-driven place and route, clock tree synthesis, and sign-off, coordinating with distributed teams to deliver complex IP with high quality.

You will apply automated flows, analyze timing, power, and area, support design methodology, and push scalable engineering flows.

Qualifications

  • Collaborative engineer with clear communication and technical curiosity.
  • Analytical approach to balancing timing, power, area, and schedule.
  • Able to prioritize work across multiple projects and teams.

Responsibilities

  • Drive physical implementation of RTL blocks through synthesis, floorplanning, and signoff.
  • Develop automated flows for clock tree synthesis, power gating, and related tasks.
  • Analyze and optimize timing, power, and area targets.
  • Support floorplanning and IP integration in complex designs.
  • Perform and support timing, physical, and electrical checks.
  • Collaborate with design teams to resolve timing challenges.
  • Identify opportunities to improve automation and design methodologies.
  • Support final signoff and delivery of large IP blocks.
  • Learn and adapt to the team’s design environment early in the role.

Skills

Collaborative engineer
Clear communication
Analytical problem solving
Project prioritization

Tools

Verilog
EDA tools
Synthesis/Place & Route
Physical verification

Job description

AMD in Santa Clara seeks a collaborative Physical Design Engineer to drive RTL-to-GDS implementation for high-performance SerDes IP. You will contribute across synthesis, floorplanning, timing-driven place and route, clock tree synthesis, and sign-off, coordinating with distributed teams to deliver complex IP with high quality.

You will apply automated flows, analyze timing, power, and area, support design methodology, and push scalable engineering flows.

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