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.
AI ComputeEdge AIEfficiencyHardwareIn-Memory ComputingPerformanceSustainabilityTCOenchargeai.com
EnCharge AI
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.
AI ComputeEdge AIEfficiencyHardwareIn-Memory ComputingPerformanceSustainabilityTCOenchargeai.com
HQSanta Clara, US
Team Size81
Open Jobs184
Total Funding$163M
Latest Fundraiselast year
TL;DR
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
High-cost, energy-intensive AI computation on conventional digital accelerators; need for efficient edge-to-cloud AI compute.
Founded
2022
Industry
Data and Analytics
Funding Track Record
Series A- 2022-12-14
21.7M USD
Launch from stealth with Series A to commercialize in-memory computing hardware and software.
Follow-on / growth round- 2023-12-05
22.6M USD
Reported round to commercialize AI-accelerating chips; brought total raised to ~$45M at the time.
Series B- 2025-02-13
>100M USD
Series B led by Tiger Global with participation from multiple financial and strategic investors.
Investor Signal
“Participation from strategic and large financial investors (e.g., Tiger Global, Samsung Ventures) alongside returning venture investors”
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Join the Team
Senior Director of Compiler Engineering
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Hybrid • Greater Bengaluru Area, IN
Senior Director of Compiler Engineering
Bangalore
We are seeking a Director of Compiler Engineering to lead the design, development, and delivery of the next-generation AI compiler and software stack powering our custom inference accelerators. This role combines deep compiler expertise, hands-on technical leadership, and organizational ownership across compiler, runtime, and QA teams to enable cutting-edge model deployment and performance.
Key Responsibilities
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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Technical Leadership: Define the compiler roadmap and architecture, driving innovation in graph compilation, lowering flows, and performance optimization.
New Model Enablement: Own end-to-end bring-up for new model families (e.g., Llama, MoE) from FX capture through runtime execution.
Frontend & IR Development:
Oversee development of modules such as llama.py, ensuring alignment with compiler FX expectations.
Lead FX graph transformations and lowering to EAI primitive dialect (pattern library).
Kernel & Ops Development: Direct kernel library integration, new kernel creation, and custom NPU RV ops to extend hardware capabilities.
Feature Ownership: Deliver compiler support for advanced features like device-to-device (D2D) communication and attention optimizations.
Cross-Team Collaboration: Partner with hardware, quantization, runtime teams to ensure feature completeness and performance parity across new models.
Quality & Execution:
Establish robust QA, validation, and regression testing for compiler releases.
Ensure timely, high-quality software delivery with focus on reliability and maintainability.
People Management: Build, mentor, and scale a high-performing team of compiler and software engineers.
Qualifications
15+ years in compiler or systems software development, with 8+ years leading engineering teams.
Expertise in AI/ML graph compilers (e.g., Torch-MLIR, TVM, XLA, Torch-FX).
Strong understanding of neural network architectures, quantization, and hardware acceleration.
Proven success driving complex, cross-functional software initiatives from design to release.
Experience with MLIR/LLVM, hardware-software co-design, and open-source compiler contributions.
Exceptional leadership, communication, and collaboration skills.
