COMPANY INFO
EnCharge AI, founded in 2021, is a private company headquartered in Santa Clara, California, specializing in advanced artificial intelligence hardware and software systems for edge computing. The company was co-founded by Naveen Verma, Kailash Gopalakrishnan, and Echere Iroaga, employs around 48 people, and operates primarily in the General Purpose Semiconductors industry. EnCharge AI develops AI computing platforms that leverage existing semiconductor supply chains to build scalable AI architectures and flexible software integration, enabling businesses to access advanced AI capabilities seamlessly. Their website is https://www.enchargeai.com/about-us.
EnCharge AI is an innovative company specializing in advanced artificial intelligence hardware and software systems for edge computing. Headquartered in Santa Clara, California, EnCharge AI develops scalable AI computing platforms that leverage existing semiconductor supply chains and flexible software architectures to enable seamless AI integration for businesses.
The EnCharge AI leadership team brings together a wealth of expertise in AI hardware, system architecture, software innovation, finance, and government affairs. Collectively, the EnCharge AI executives and founders have deep academic roots, significant industry experience at global technology leaders, and a strong track record of driving advanced research into real-world AI solutions. This diverse talent pool positions EnCharge AI to pioneer breakthroughs in high-performance, scalable AI systems.
N aven Verma serves as a Co-Founder of EnCharge AI, in addition to his role as Director of the Keller Center for Innovation in Engineering Education and Professor of Electrical and Computer Engineering at Princeton University. He drives the vision for EnCharge AI by merging academic rigor with practical product development, leading the company's efforts in building advanced AI compute technology and guiding high-impact innovation initiatives.
Verma holds a PhD in Advanced Computing and Integrated Circuits from MIT and has held a professorship at Princeton University with a distinguished research focus in AI hardware. His background in both industry collaborations and academic research enables him to bridge cutting-edge scientific developments with entrepreneurial leadership—an asset to the growth and reputation of EnCharge AI's management team.
As Kailash Gopalakrishnan, CTO and Co-Founder, he leads the technology strategy and AI hardware architecture at EnCharge AI. He is central to the design of the company's AI compilers and hardware-software co-design initiatives, consistently pushing the boundaries of industry performance in AI system architectures and enabling EnCharge AI to deliver scalable and efficient solutions.
Gopalakrishnan earned his PhD in Electrical Engineering from Stanford University and is a former IBM Fellow and Senior Manager, with deep expertise in low-precision algorithms, AI hardware, and cloud computing. His experience founding the IBM Research AI Hardware Center and leading multiple generations of industry-defining AI-optimized platforms underscores his critical role in EnCharge AI’s leadership and technology roadmap.
Echere Iroaga, Co-Founder and Chief Operating Officer, oversees the company’s operations and engineering management. He is instrumental in shaping EnCharge AI's product development trajectory, leveraging his hands-on expertise in mixed-signal design and operational execution to drive technological excellence and successful product launches.
Iroaga holds a PhD in Electrical Engineering from Stanford University and is a former senior engineering leader at companies such as MACOM, AppliedMicro, and Qualcomm. As founder of Renovus Inc., he developed robust analog and mixed-signal design expertise, which he now applies to ensure operational and product leadership at EnCharge AI.
Mayank Daga is VP of Software at EnCharge AI, leading accelerated computing system software for AI/ML and HPC applications. He has pioneered software innovations for AI training and inference platforms and is recognized for scaling engineering teams while forging key strategic customer partnerships.
Daga earned his Masters of Science in Computer Science from Virginia Tech and previously held senior roles at SambaNova Systems and AMD. At AMD, he contributed to deep learning software libraries and frameworks such as MIOpen, establishing himself as an expert in both AI/ML software and high-performance computing relevant to EnCharge AI management.
Jason Huang serves as VP of Finance, where he is responsible for scaling the finance and operations teams at EnCharge AI. He brings strategic financial leadership to the company, supporting business growth, driving operational readiness, and building high-performing finance and operations teams to meet the demands of rapid scaling.
Huang holds a BS in Accounting from San Francisco State University and draws on finance leadership experience from organizations like SupplyShift, Arteris IP, and PlanGrid. His background in both startups and established technology companies contributes to the robust financial stewardship of the EnCharge AI executive team.
Jonathan Morris is VP of Government Affairs & Communications, leading regulatory, policy, and company communications strategies. He builds and nurtures productive relationships with government entities, investors, and the public, supporting the commercialization and public positioning of EnCharge AI’s AI innovation.
Morris holds a BA in Political Science from Duke University and an MPP in Public Policy from UC Berkeley. His experience in technology policy, regulatory affairs, and strategic communications includes roles at Embark Trucks and the White House, making him an essential part of EnCharge AI’s leadership.
Sunil Shukla is Director of AI Architecture, responsible for architecting EnCharge AI’s AI accelerators and platform development. His expertise in coarse-grained reconfigurable architectures and AI hardware design enables the creation of cutting-edge AI solutions.
Shukla earned a PhD from The University of Queensland and was previously an IBM Principal Research Staff Member and Manager at T.J. Watson Research Center. He is widely experienced in AI hardware and system design, fortifying EnCharge AI’s technical edge.
Dr. Michael J. Klaiber, Director of Compiler Engineering, leads the development of AI compilers and runtime software for EnCharge AI’s in-memory computing hardware. He is at the forefront of hardware/software co-design, focusing on energy-efficient and high-performance AI compute systems.
Klaiber holds a Dr. rer. nat. in Computer Science and Dipl.-Ing. in Electrical and Electronics Engineering from the University of Stuttgart. He brings strong expertise as a former IBM logic design engineer and research scientist, specializing in AI compilers and embedded systems.
Jennifer Shen Hwang is Director of SOC Verification, overseeing ASIC verification and silicon validation activities. She has built and led successful verification teams, ensuring high-quality system-on-chip (SoC) designs critical to EnCharge AI’s product quality.
Hwang earned her SB/ME in Electrical Engineering from MIT and brings extensive experience from companies such as Groq, QuickLogic, Broadcom, and Cadence Design Systems. She is talented in constructing advanced verification environments and managing large, high-performing engineering teams.
Ram Rangarajan is a senior executive at EnCharge AI, recognized as a key leader within the company. While specific details regarding his role and initiatives are limited publicly, he contributes to the overall leadership and strategic operations of the company.
Rangarajan is based in the San Francisco Bay Area and maintains a robust professional network. Further details on his career background and expertise are not broadly disclosed but he remains a distinguished part of the EnCharge AI management team.
The EnCharge AI leadership team is structured around deep scientific expertise, entrepreneurial drive, and domain diversity, encompassing co-founders with strong academic pedigrees alongside leaders in technology, operations, finance, and communications. This multi-disciplinary management team collaborates to build scalable, innovative AI systems and drive EnCharge AI’s mission in the rapidly evolving AI semiconductor industry.
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