
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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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.
About The Role We are seeking an Analog Mixed Signal Design Engineer. This role will drive the development of state-of-the-art analog IP and SoCs to meet aggressive power, performance, and area targets. The individual will contribute to the design of a wide range of analog and mixed-signal circuits, including switched-capacitor circuits, ADCs, DACs, memory, and amplifiers.
The successful candidate will participate in all phases of the design lifecycle, including architecture and specification definition, circuit design and simulation, layout and layout supervision, chip verification, and prototype evaluation. This role also requires coordinating and overseeing test efforts in both laboratory and production test environments.
Qualifications
BS/MS/PhD in Electrical Engineering or related field with coursework, projects and/or experience in analog / mixed signal design.
One or more of following work experience is required for this role
Experience in design of switched capacitor circuits (ADCs, DACs) etc.
Experience in the design of SAR ADCs
Experience with design and testing of integrated DCDC convertors (Buck)
Experience with analog circuit design from scratch (spec level)
Experience in advanced CMOS technology nodes (16nm and below)
Experience in SystemVerilog / Veriloga modeling of analog circuits
Experience with Post-Silicon lab bring up, evaluation and debug
Ability to supervise layout resources in layout critical designs
Familiarity with the latest analog and mixed-signal design tools and simulation techniques