
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”
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(www.enchargeai.com)
Senior Staff Physical Design Engineer (from Tier1 colleges like IITs/NITs/IIITs)
Location: Remote-Anywhere in India
About Company
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
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About the Role
We are seeking a highly experienced Senior Staff Physical Design Engineer with a strong background in chip-level implementation and EDA tools. The ideal candidate will have deep expertise in physical design, timing closure, and low-power design.
Qualifications1
0-14 years of experience in physical design (excluding other areas such as logic design or CAD)
.Strong understanding of EDA implementation for chip design, with hands-on experience in Cadence tools (must-have)
.Strong knowledge of timing concepts and timing closure techniques for chip design
.Experience with both top-level and block-level physical design is required; experience with hierarchical floorplanning is a plus
.Proficiency in low-power design concepts and debugging is necessary
.Experience with EM/IR checks, debugging, and issue resolution, including power grid verification, is required
.Strong scripting skills in TCL or Python for automation are important
.Understanding of process concepts is needed for physical verification as part of routing tasks
.Experience with physical design methodology and flow setup is preferred; this role will involve advanced flow evaluations
.Additional experience in areas such as PDK management or foundry tapeout processes is a p us
Con act
Udaymuday_bhaskar@yahoo .com
Mulya Technologies
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