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.
Job Title: Senior Physical Design Engineer
Experience: 4–7 Years
Focus: Block-Level RTL-to-GDSII & PPA Optimization
Location: Bangalore Hybrid
The Role
We are looking for a high-energy, technically curious Physical Design Engineer to join our advanced silicon team. This isn't a role for someone who wants to just "push buttons" on a vendor flow.
We need a driver—someone with 4–6 years of experience who has lived through the trenches of quality tape-outs and is hungry to take full ownership of complex partitions.
You will be expected to work with a high degree of independence, using your analytical skills to bridge the gap between a standard recipe and a world-class PPA result.
You should be comfortable following expert lead direction while maintaining the "question the status-quo" mindset when you see a more effective path.
Key Responsibilities
Partition Ownership: Lead the physical implementation of complex blocks from Synthesis and Floor-planning through to CTS, Routing, and Sign-off.
PPA Recipe Development: Don't just run the flow—optimize it. You will perform deep-dive analysis on timing paths, power profiles, and congestion to derive custom optimization strategies.
Automation-First Mindset: Use Tcl and Python to automate repetitive tasks, build custom analysis scripts, and enhance the efficiency of the physical design environment.
Independent Convergence: Take a partit