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 them with hardware and software systems to accelerate dense matrix operations and reduce compute, power, and space requirements. Its product stack targets edge-to-cloud deployments and power‑constrained applications, integrating with existing AI workflows and system software for inference and model deployment. Founded in 2022 by semiconductor and AI systems veterans, EnCharge reports large-scale production experience, patents, and sustainability-focused efficiency gains.
AI ComputeEdge AIEfficiencyHardwareIn-Memory ComputingPerformanceSustainabilityTCOenchargeai.com
EnCharge AI
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 them with hardware and software systems to accelerate dense matrix operations and reduce compute, power, and space requirements. Its product stack targets edge-to-cloud deployments and power‑constrained applications, integrating with existing AI workflows and system software for inference and model deployment. Founded in 2022 by semiconductor and AI systems veterans, EnCharge reports large-scale production experience, patents, and sustainability-focused efficiency gains.
AI ComputeEdge AIEfficiencyHardwareIn-Memory ComputingPerformanceSustainabilityTCOenchargeai.com
HQSanta Clara, US
Team Size85
Open Jobs184
Total Funding$163M
Latest Fundraiselast year
TL;DR
Founded: 2022
Headquarters: Santa Clara, California
Tech focus: Analog in-memory AI accelerators and software for edge-to-cloud
Recent funding: Series B > $100M (announced Feb 2025)
Company Overview
Problem Domain
Energy- and space-constrained AI inference acceleration for edge-to-cloud deployments.
Founded
2022
Industry
Data and Analytics
Tech Stack
Analog in-memory compute chips
Hardware systems for dense matrix operations
Software stack for inference/model deployment
Funding Track Record
Seed / Series A- 2022-12-14
21700000
Emergence from stealth with $21.7M
Undisclosed round- 2023-12-05
22600000
Raised $22.6M to commercialize chips
Series B- 2025-02-13
100000000+
Series B announced as more than $100M
Investor Signal
“Includes both financial and strategic investors such as Tiger Global, Samsung Ventures, CTBC/HH-CTBC, AlleyCorp, and others”
Founders
What we do
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Join the Team
SoC Architect – Secure Computing
RemoteIN
Remote • IN
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
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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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
