
EnCharge AI is pioneering a new era of AI computation with its transformative, efficient, and sustainable in-memory computing technology. Addressing the limitations of traditional GPUs and digital AI accelerators, EnCharge AI offers up to 20x higher efficiency, 9x higher compute density, and a 10x lower total cost of ownership, resulting in 100x lower CO2 emissions compared to cloud alternatives. Their technology integrates into various form factors, including chiplets, ASICs, and PCIe cards, enabling seamless edge-to-cloud AI deployments. EnCharge AI's mission is to democratize advanced AI, making it accessible for businesses of all sizes by enabling on-device processing for enhanced data privacy, security, and affordability. The company was founded in 2022 and is led by a team of industry veterans with deep expertise in semiconductor design and AI systems.

EnCharge AI is pioneering a new era of AI computation with its transformative, efficient, and sustainable in-memory computing technology. Addressing the limitations of traditional GPUs and digital AI accelerators, EnCharge AI offers up to 20x higher efficiency, 9x higher compute density, and a 10x lower total cost of ownership, resulting in 100x lower CO2 emissions compared to cloud alternatives. Their technology integrates into various form factors, including chiplets, ASICs, and PCIe cards, enabling seamless edge-to-cloud AI deployments. EnCharge AI's mission is to democratize advanced AI, making it accessible for businesses of all sizes by enabling on-device processing for enhanced data privacy, security, and affordability. The company was founded in 2022 and is led by a team of industry veterans with deep expertise in semiconductor design and AI systems.
Founded: 2022
Headquarters: Santa Clara
Product: Analog in-memory AI accelerators (chiplets/ASICs/PCIe) and software
Key claim: Up to 20x efficiency, 9x compute density vs conventional digital accelerators
Total funding (reported): ≈$162.9M
Notable investors: Tiger Global, Anzu Partners, Samsung Ventures
High-cost, energy-intensive AI computation on conventional digital accelerators; need for efficient edge-to-cloud AI compute.
2022
Data and Analytics
21.7M USD
Launch from stealth with Series A to commercialize in-memory computing hardware and software.
22.6M USD
Reported round to commercialize AI-accelerating chips; brought total raised to ~$45M at the time.
>100M USD
Series B led by Tiger Global with participation from multiple financial and strategic investors.
“Participation from strategic and large financial investors (e.g., Tiger Global, Samsung Ventures) alongside returning venture investors”
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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
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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