EA
Bangalore Hybrid, India· Hybrid
EA
Salary not disclosed
Check market pay for comparable Power Architect roles before applying.
Role overview
Job description
Power Architect – AI SOC Location: Bangalore Hybrid/ Remote About EnCharge AI EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. Role Overview: We are seeking a critical-thinking, highly collaborative Power Architect to drive end-to-end PPA (Power, Performance, Area) excellence for our next-generation AI semiconductor chips. In this cross-functional IC role, you will bridge the gap between front-end concept
…About this listing
- Listed from EnCharge AI's careers site via Greenhouse · last confirmed on the source 23 Oct 2026
- Posted 20 Oct 2026
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What they are looking for
Skills & requirements
Qualification
BS/MS/PhD in Electrical Engineering, Computer Engineering, or a related field. 12+ years of semiconductor experience with a deep focus on SoC architecture, low-power RTL design, and Physical Design (PD) implementation. Proven track record of delivering complex, high-performance silicon (AI accelerators, GPUs, or advanced SoCs) under stringent PPA constraints. Hands-on expertise with power intent (UPF/CPF) and industry-standard power estimation/analysis tools. Strong scripting and automation skills (Python, Tcl, Perl) for customizing EDA tool flows and PPA data analysis.
Department · Architecture
Hiring company
EnCharge AI
Technology
AI Compute from the Edge-to-Cloud for Every Business. Transformative technology for AI computation, breaking records in efficiency and sustainability to enable state-of-the-art models uninhibited by power, space, and cost constraints.
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