Principal Physical Design Engineer (RTL-to-GDSII)

Experience

14+ years in Physical Design with a proven track record of multiple sub-5nm tape-outs.

Tool Suite

Mastery of Cadence Innovus, Tempus, Joules, Pegasus, and Voltus.

Advanced Nodes

Deep understanding of sub-5nm physics: EUV constraints, multi-patterning, FinFET and IR/EM challenges.

Sign-off

Expert-level knowledge in Static Timing Analysis (STA), Physical Verification (PV), and Power Integrity (PI) and ECO methodology.

Scripting

Proficiency in Tcl and Python to develop custom flow wrappers and data-mining tools for PPA analysis.

Soft Skills & Leadership

• Holistic Thinking: You look at the "Big Picture." You solve timing by fixing the floorplan or the RTL/ARCH
• Influence & Rapport: You can build strong technical bridges with Front-End, Foundry, and EDA vendors to align on a unified execution strategy.
• Critical Thinking: You operate on first principles. You don't just follow a vendor's "Best Practices" if they don't make sense for our specific architecture.
• Mentorship: You act as a force multiplier, elevating the technical competence of the entire PD team.

Why Join This Team?

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.

Location: Bangalore Hybrid

The Vision

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.

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.