Physical Design Lead

Department: 01 - Silicon Engineering

Location: Mountain View, London, New York

Compensation: $200K – $400K • Offers Equity

Employment Type: FullTime

Normal Computing | Build with Us

Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.

The Role

As a Physical Design Lead at Normal, leading the team owns the end-to-end silicon realization path, taking complex architectures from synthesis and physical floorplanning all the way through timing signoff and GDSII tapeout. Sitting at the intersection of custom ASIC design and our hardware-algorithm co-designed systems, you will shape physical feasibility early in the design cycle by working shoulder-to-shoulder with RTL and architecture teams. You'll drive the full backend implementation flow—optimizing floorplanning, place-and-route (P&R), clock tree synthesis (CTS), static timing analysis (STA), and physical verification (DRC/LVS) to achieve aggressive power, performance, and area (PPA) targets.

We are looking for a seasoned engineer and lead who thrives in cross-functional environments and takes pride in tapeout-proven execution. The ideal candidate brings effective team building and leaders, and a meticulous approach to physical signoff, maintains clarity in fast-paced build cycles, and is excited to solve the physical constraints of novel computing architectures.

What You Will Own

• Physical Design Team Hiring & Leadership: Provide leadership of the PD team, including necessary hiring to support the plan, and individual guidance and performance feedback

• Project Planning: Create work estimates and schedule to support an aggressive tapeout plan

• EDA tools acquisition: Specify and help negotiate the appropriate EDA tools to support the physical design methodology

• Design & Floorplan Reviews: Collaborate closely with RTL, architecture, and DFT teams to influence early floorplanning, macro placement, pin assignments, and physical feasibility.

• Physical Implementation & Flow: Lead the full netlist-to-GDSII physical design flow, including floorplanning, power grid design, placement, clock tree synthesis (CTS), and place-and-route (P&R).

• Timing Closure & STA: Own static timing analysis (STA), timing constraints creation/validation, and signoff timing closure across all operating corners and modes.

• Power, Area, and Signal Integrity: Drive physical optimization for power, performance, and area (PPA), as well as power integrity (IR/EM) and crosstalk analysis.

• Physical Signoff & Verification: Execute full chip/block physical signoff checks, including DRC, LVS, ERC, and antenna fixes, ensuring seamless handoff to the foundry.

• Tapeout & Post-Silicon Support: Create and execute tapeout checklists, manage final stream-out processes, and support post-silicon physical debugging and bring-up as needed.

What Makes You a Great Fit

• Tapeout Track Record: Lead at least 3+ successful tapeouts from netlist to signoff, ideally across advanced technology nodes.

• PD Flow Expertise: Deep hands-on experience with industry-standard physical design tools (e.g., Innovus, IC Compiler II, Tempus, PrimeTime, Pegasus, Calibre) across floorplanning, P&R, CTS, and signoff timing closure.

• Backend Debugging Instincts: Strong problem-solving skills in analyzing and resolving STA timing bottlenecks, IR/EM drop issues, crosstalk, and complex DRC/LVS signoff violations.

• Cross-Functional Feasibility: Ability to collaborate effectively with RTL, architecture, and DFT teams to influence floorplanning, pin placement, and early physical feasibility.

• Managerial experience: at least 7 years experience in role

Bonus Points

• Experience at an AI or high-performance compute (HPC) chip startup where design, verification, and PD work in tight iteration cycles.

• Experience with custom memory/macro floorplanning, hierarchical top-level implementation, or advanced packaging (e.g., chiplets, 2.5D/3D integration).

• Hands-on experience developing or maintaining automated TCL/Python scripting frameworks for physical design flows.

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.

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