Hardware Engineer, Physical Design
Normal Computing
Mountain View, CA · $200k–$400k a year · Posted October 17, 2026
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Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among computer hardware engineers, AI is already used for some of the tasks. Measured exposure for computer hardware engineers: 15% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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), and London.
THE ROLE
Hybrid: 3 days a week in the office, in Mountain View, New York or London.
As a Physical Design Engineer at Normal, you will own 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 who thrives in cross-functional environments and takes pride in tapeout-proven execution. The ideal candidate brings 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 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.
- Design & Floorplan Reviews: Collaborate closely with RTL, architecture, and DFT teams to influence early floorplanning, macro placement, pin assignments, and physical feasibility.
- 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: 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.
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.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.