we are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems — a critical barrier to scalable adoption.
Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-productive. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency — unlocking unprecedented efficiency for AI training and inference at scale
No.
Required Competencies - Education 15 year s
Bachelor of Tech/Engineering/equivalent in Electronics, Computer Engineering or Computer Science or related field required, or an equivalent educational path
2 Exposure to training on program, project or executive management via certification or industry practice No. Required Competencies -
Experience
1 Must have led program management for silicon and software co-development of complex products for 5+ years 2 Must have working technical expertise in silicon and/or software development for 15+ years with increasing responsibility
3 Must have played key role in development, validation & customer shipments of complex products.
4 Must be exposed first hand to memory and interconnect technologies, and software/firmware needed to make them work in data center.
5 Must have managed program budgets: creating, tracking to plan and adapting when needed No. Required Competencies -
Skills
1 Demonstrated engineering expertise in one or more areas of architecture/micro architecture, RTL, DV, firmware software or system design or system validation.
2 Must be familiar with traditional waterfall planning as well as agile development methods and adapt program management techniques to the programs.
3 Expertise in program management techniques and tools including Gantt Charts, Kanban boards, big reporting and triaging. Ability to code or vibe code custom dashboard
📌 Program Director (Hyderabad)
🏢 Mulya Technologies
📍 Hyderabad
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