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EnCharge AI is seeking a Principal Physical Design Engineer (RTL-to-GDSII) in Bengaluru for a hybrid role requiring 14–20 years of PD experience. You will own the full flow from RTL to GDSII, optimize PPA, and drive scalable methodologies across sub-5nm nodes.
Proficiency with Cadence Innovus, Tempus, Joules, Pegasus, and Voltus is essential. You will collaborate with RTL, Architecture, DFT, and foundry teams to remove bottlenecks, push the limits of the PDK and tools, and mentor the PD team to
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Principal Physical Design Engineer (RTL-to-GDSII)
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.
Experience: 14-20 Years
We are seeking a Principal Physical Design Engineer who thrives on complexity and rejects the \"black box\" approach to EDA tools. This role is for a First Principles thinker who questions the status quo. If a standard flow isn't yielding the desired PPA (Power, Performance, Area), you dive into the PDK, the tool algorithms, and the methodology to find a better way. You are responsible for transforming raw RTL into world-class silicon by eliminating systemic bottlenecks and building a scalable, predictable path to GDSII.
14-20 years in Physical Design with a proven track record of multiple sub-5nm tape-outs.
Mastery of Cadence Innovus, Tempus, Joules, Pegasus, and Voltus.(cadence software)
Deep understanding of sub-5nm physics: EUV constraints, multi-patterning, FinFET and IR/EM challenges.
Expert-level knowledge in Static Timing Analysis (STA), Physical Verification (PV), and Power Integrity (PI) and ECO methodology.
Proficiency in Tcl and Python to develop custom flow wrappers and data-mining tools for PPA analysis.
In this role, you aren't just a \"user\" of tools; you are an engineer who shapes how silicon is built. You will have the autonomy to overhaul legacy flows and the resources to execute on cutting-edge nodes that define the industry's future.