
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.

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.
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 |
|---|
Energy- and space-constrained AI inference acceleration for edge-to-cloud deployments.
2022
Data and Analytics
21700000
Emergence from stealth with $21.7M
22600000
Raised $22.6M to commercialize chips
100000000+
Series B announced as more than $100M
“Includes both financial and strategic investors such as Tiger Global, Samsung Ventures, CTBC/HH-CTBC, AlleyCorp, and others”
https://job-boards.greenhouse.io/enchargeai36/jobs/4089133009
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
Ability to supervise layout resources in layout critical designs
Familiarity with the latest analog and mixed-signal design tools and simulation techniques