
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)
Staff DFT Engineer
Location: Greater Bengaluru Area (Hybrid-2 days office, 3 days home)
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.
India
Staff DFT Engineer
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.
The Opportunity
We are looking for a high-energy, Staff-level DFT Engineer to join our silicon team. In the fast-paced world of Edge AI, efficiency is everything.
As a "go-getter" in a startup environment, you’ll have the autonomy to shape the end-to-end DFT insertion process for our next-generation AI accelerators.
Key Responsibilities:
What You Bring
Why Join Us?
Technical Skills at a Glance
Category
Requirement
Logic Test
Scan Compression, ATPG (Stuck-at, Transition), EDT
Memory Test
MBIST (Programmable/Hardened), Repair Algorithms
System Level
JTAG, IEEE 1149.1/6, IEEE 1500 (Wrappers)
Timing
DFT Constraints, SDC management, Post-layout STA
Scripting
Expert in Tcl, Python, or Perl for flow automation
Contact
Uday
muday_bhaskar@yahoo.com
Mulya Technologies
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