Staff/Senior Staff Physical Design Floorplan & Power Delivery Network Lead
EnCharge AI
Staff/Senior Staff Physical Design Floorplan & Power Delivery Network Lead
EnCharge AI
Analog in-memory AI hardware and software
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
Staff/Senior Staff Physical Design Floorplan & PDN Lead
Experience: 10–14 Years
Location: Bangalore/2 days to work
Department: RTL-to-GDSII / Physical Implementation
Role Overview
We are seeking a high-caliber Staff or Senior Staff Physical Design Engineer with a specialized mastery of Floorplanning and Power Delivery Network (PDN) design. You won’t just be pushing buttons; you will be the architectural bridge between RTL/Systems and the final GDSII. This role requires a visionary who understands how a single floorplan decision ripples through the entire PPA (Power, Performance, Area) spectrum.
As a technical lead, you will own the chip-top floorplan for complex, large-scale SoCs or Sub-chips, driving strategies that balance aggressive performance targets with robust power integrity.
Key Responsibilities
Technical Requirements
Behavioral Attributes
Education
Analog in-memory AI hardware and software
EnCharge AI designs and sells AI-accelerating hardware and software for edge-to-cloud workloads, focusing on analog in-memory computing. Its products include chiplets, ASICs, PCIe cards, and flexible software that integrates across platforms. The approach uses semiconductor design to implement analog in-memory computing for fast AI processing with lower power and smaller footprint, compatible with existing systems. Compared with competitors, it prioritizes sustainability with lower CO2 emissions and total cost of ownership, backed by a leadership team with 20+ years in AI hardware and a track record of 350 million chips shipped, 150 patents, and 300 publications, and aims to democratize advanced AI by making it affordable and environmentally sustainable.
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