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Physical Design Subsystem (Multiple IP’s/Partitions) Lead

Asteralabs

Israel permanent

Posted: March 10, 2026

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Quick Summary

We're looking for a Physical Design Subsystem (Multiple IP's/Partitions) Lead to join Astera Labs' team in Israel.

Job Description

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Physical Design Subsystem (Multiple IP’s/Partitions) Lead to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the backend execution and methodologies for chips that power the world's largest AI clusters.

If you thrive on solving complex, unnamed challenges in deep-submicron processes, your place is with us.

As the Physical Design Subsystem (Multiple IP’s/Partitions) Lead you will be a Key member of our PD Team in Israel R&D center. You will run PD execution of SubSystem with your team for chips that drive the world’s largest AI clusters. You will lead the team and the transition from RTL to GDS, ensuring our silicon meets the extreme performance, power, and area (PPA) targets required for AI scale.

Key Responsibilities

• Build and mentor a high-performing Partitions team , owning the end-to-end execution from Synthesis to Signoff

• Take full ownership of Subsystem physical implementation, including floorplanning, P&R, CTS, Power/Clock distribution, Power integrity and Timing/Physical signoff

• Work closely with the Architecture, Design, DFT, and Product teams to achieve optimal Power Performance Area (PPA). This involves conducting feasibility studies for new architectures and optimizing runs to ensure the best Quality of Results (QoR)

• Lead and guide external contractors and global partners to ensure seamless execution and delivery

• Address complex signal integrity, thermal, and power challenges inherent in high-speed connectivity silicon

Basic Qualifications

• B.Sc. or M.Sc. in Electrical Engineering

• 15+ years of hands-on experience in Physical Design/Backend at leading semiconductor companies, working on advanced process technologies (5nm, 3nm, and below)

• Proven experience in leading teams or projects with a "can-do" approach and excellent communication skills

• Deep expertise in RTL2GDS flows, including P&R, STA, Physical verification (DRC/LVS), Formal verification, low-power implementation (UPF/CPF), EMIR and evaluating foundry process nodes and third-party IPs

• Mastery of industry-standard EDA tools (Synopsys Fusion Compiler/ICC2, Cadence Innovus)

• Experience managing both complex Macro-level designs subsystem level and Full-Chip integration

Preferred Experience

• Deep understanding of Power & Noise analysis (EM/IR)

• Experience with DFT (Design for Test) integration

• Background in high-speed interfaces or data center protocols

We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

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