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…

AI ComputeEdge AIEfficiencyHardwareIn-Memory ComputingPerformanceSustainabilityTCOenchargeai.com

EnCharge AI

AI ComputeEdge AIEfficiencyHardwareIn-Memory ComputingPerformanceSustainabilityTCOenchargeai.com

HQSanta Clara, US

Team Size85

Open Jobs613

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

Join the Team

Staff Compiler Engineer

HybridGreater Bengaluru Area, IN

Hybrid • Greater Bengaluru Area, IN

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www.enchargeai.com

Locations: Bangalore (Hybrid)

Job Description:

Bengaluru, Karnataka (Hybrid)

About EnCharge AI:

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.

Staff Compiler engineer – model bringup (2–3 hires)

· Focus: Model bringup: getting ML models running on our hardware via the compiler stack.

· Ideal profile: Experienced compiler engineer who also understands ML models (architectures, ops, graph-level optimization, mapping to hardware, numerical accuracy).

· Level: Mid to senior. Again, we prefer senior; juniors only if they are clear slam dunks (e.g. compiler + ML/model experience).

8+ years of experience

Contact:

Uday

Mulya Technologies

muday_bhaskar@yahoo.com

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