
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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SoC Architect – Secure Computing
Locations: Bangalore / Remote ( Any where in India )
Job Description:
We are seeking an experienced SoC Architect with a strong background in secure
computing to help architect the next-generation AI inference SoC. You will focus on the
definition and development of a secure I/O and compute subsystem, ensuring robustness
from power-on to runtime in a virtualized, multi-tenant deployment.
This role focuses on designing and integrating security features such as Root of Trust
(RoT), secure boot and firmware upgrades, key lifecycle management, encryption
engines, and isolation mechanisms at both the firmware and hardware layers. You will
define and drive architectural specifications for secure PCIe interfaces, memory
encryption support (e.g., for LPDDR or HBM), and establishing chain of trust between RISC-
V cores.
Responsibilities:
• Define and develop secure boot flows, authentication, and RoT frameworks for
PCIe-based AI accelerator cards.
• Define and develop the verification plan for the secure sub-system of the SoC
including but not limited to secure boot, firmware upgrade, key lifecycle
management, and threat vector modeling.
• Architect SoC-level and IP-level protections, including memory encryption and
secure debug interfaces.
• Integrate security-specific IPs such as crypto engines, key managers, and security
monitors/sensors.
• Collaborate with firmware, system software, and verification teams to ensure
secure HW/SW co-design
• Ensure compliance with security standards and best practices (e.g., NIST, FIPS, PSA
Certified).
• Participate in silicon bring-up and validation of secure features.
Required Background:
• BS/MS/Ph.D. in EE, CS, or related field with 10-25+ years of SoC design experience.• Strong knowledge of hardware security architecture, trusted execution
environments, and secure memory.
• Experience with secure boot flows, key provisioning, secure debug/test interfaces.
• Familiarity with PCIe Gen 4/5, SR-IOV, and secure virtualization mechanisms.
• Experience with RISC-V SoCs and integrating security features into SoC-level
designs.
• SystemVerilog and UVM-based verification experience a plus.
Contact:
Uday
Mulya Technologies
muday_bhaskar@yahoo.com
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