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Physical Design Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Acceler8 Talent
Full Time position
Listed on 2026-05-29
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Acceler8 Talent is partnering with an early-stage, stealth-mode AI hardware startup to hire Physical Design Engineers to their team.

They are building an advanced AI-native compute platform spanning silicon and full-stack infrastructure for next-generation AI systems. They're seeking Physical Design Engineers to drive the implementation and optimization of cutting‑edge AI silicon. This is a highly technical role focused on physical implementation for a new class of compute architecture.

What You’ll Do
  • Own floorplan-to-signoff physical design for one or more blocks within an AI accelerator SoC
  • Develop and utilize AI‑assisted tooling flows to accelerate physical design and signoff timelines
What We’re Looking For
  • Strong expertise across the full physical design flow, including synthesis, place and route, clock tree synthesis, and signoff
  • 8+ years of experience working on very high-performance designs at advanced process nodes (7nm or below)
  • Hands‑on experience with industry‑standard physical design tools such as Cadence Innovus, Synopsys Fusion Compiler, or equivalent
  • Experience with signoff tools such as Prime Time, Tempus, or equivalent
  • Demonstrated ability to collaborate closely with architects, RTL designers, EDA vendors, and foundry teams to implement and sign off complex silicon designs
Preferred / Bonus Experience
  • Experience with advanced multi‑die packaging technologies such as CoWoS, 2.5D integration, or related heterogeneous packaging approaches
What We Offer
  • Opportunity to help define physical implementation methodology for next‑generation AI compute platforms
  • High‑impact technical ownership in a fast‑paced engineering environment
  • Work on advanced silicon challenges spanning architecture, packaging, and AI infrastructure
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