
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)
Location: Greater Bengaluru Area (Hybrid)
About Company:
Emulation Engineer – , Locations: Bangalore,
Job Description: At EnCharge AI, we are building the next generation of AI compute silicon — purpose-built for high-performance, low-power, and scalable AI inference. As an Emulation Engineer, you will play a critical role in validating complex AI accelerator architectures on emulation platforms before tape-out.
This position is ideal for someone passionate about bridging the gap between hardware and software in fast-paced, deep tech environments. Responsibilities: • Set up and maintain Siemens Veloce emulation and prototyping platforms
• Adapt SoC designs for Emulation and Prototyping • Develop and debug emulation testbenches and system-level environments • Support pre-silicon validation, power/performance analysis, and early software bring-up. Participate in silicon bring-up and validation.
• Collaborate with design and verification teams to isolate design issues and accelerate debug. • Optimize performance of the emulation workloads and reduce turnaround time. • Work with firmware/software teams to enable use of emulators for OS and driver testing
. Required Background: • BS/MS/Ph.D. in EE, CS, or related field with 3+ years of SoC design experience. • Experience with emulation platforms (Veloce, Palladium, or ZeBu) and FPGA-based prototyping systems (proFPGA, HAPS, or Protium)
• Experience with emulating high speed I/O interfaces such as PCIe and UCIe and memory technologies such as LPDDR and HBM • Solid understanding of digital design, RTL (Verilog/SystemVerilog), and SoC architecture.
• Proficiency in hardware debug tools, waveform viewers, and logic analyzers • Scripting skills (e.g., Python, Tcl, Perl) for automation and infrastructure development • Familiarity with UVM, simulation, and testbench environments. SystemVerilog and UVM-based verification experience a plus • Hand-on software development experience with C/C++ is a plus
Contact
Uday
muday_bhaskar@yahoo.com
Mulya Technologies
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