
EnCharge AI provides efficient, low‑power AI computing solutions that let businesses run advanced models from edge devices to the cloud. The company designs analog in‑memory computing chips and pairs…

EnCharge AI provides efficient, low‑power AI computing solutions that let businesses run advanced models from edge devices to the cloud. The company designs analog in‑memory computing chips and pairs…
Founded: 2022 (Princeton University spinout)
Headquarters: Santa Clara (evidence: company described as Santa Clara–based)
Product: Analog in-memory AI accelerators with hardware/software stack for edge-to-cloud
Recent funding: Series B (Feb 13, 2025) > $100M led by Tiger Global
Total funding reported: $162.9M (currency: USD)
Energy-efficient AI inference for edge and cloud (power-constrained applications, on-device/edge deployments).
2022
Data and Analytics
21700000
Reported $21.7M; participants included AlleyCorp, Scout Ventures, Silicon Catalyst Angels and others.
22600000
Reported $22.6M round (brought total to ~$45M at that time); participants included VentureTech Alliance, RTX Ventures, ACVC Partners, Anzu Partners, S5V, AlleyCorp, Scout and Silicon Catalyst Angels.
100000000
Reported as more than $100M Series B led by Tiger Global.
“Includes strategic and financial investors such as Tiger Global, VentureTech Alliance (TSMC-related), RTX Ventures, Samsung Ventures and a mix of VC and corporate backers”
| Company |
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EnchargeAi.com
Location : Bangalore
Title : Principal Physical Design Engineer ( Hybrid-2 days office/3 days home)/ remote ( any where in India)
Principal Physical Design Engineer (RTL-to-GDSII)
Bangalore
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: Principal Physical Design Engineer (RTL-to-GDSII)
Experience: 14+ Years
Technology Focus: Sub-5nm (3nm/2nm)
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.
Key Responsibilities
Technical Qualifications
Experience
14-20 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
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.
Contact:
Uday
muday_bhaskar@yahoo.com
www.mulyatech.com
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