Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A Great Place To Work Certified company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
The future of network operations is autonomous and Prodapt is building it. This leadership role will define and drive Prodapt's Autonomous Operations and AIOps strategy across infrastructure and network domains, working with the world's largest telecom operators, fiber ISPs, and cloud network providers. You will combine deep network engineering expertise with AI/ML capabilities to eliminate manual toil, predict failures before they occur, and help clients achieve closed-loop autonomous network operations.
Core Responsibilities:
- Enable vector database frameworks such as DiskANN, Milvus, and related retrieval/search pipelines on an FPGA-accelerated platform
- Modify and optimize software stacks so that distance computation and related vector operations can be offloaded to FPGA-based storage or accelerator device
- Design and integrate host-side software paths to issue custom or vendor-specific NVMe commands for computation offload
- Develop and optimize I/O submission/completion paths using modern Linux interfaces such as io_uring
- Analyze existing VectorDB execution flows and identify where offload can be inserted with minimal software disruption
- Debug full-stack issues spanning application software, libraries, kernel/user-space I/O paths, NVMe protocol behavior, and FPGA device responses
Requirements:
- Bachelor s or Master s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
- Strong programming skills in C/C++ and experience with performance-oriented system software development
- Hands-on experience with vector databases, similarity search, or ANN frameworks such as DiskANN, Milvus, FAISS, or related systems.
- Good understanding of Linux systems programming, storage I/O, and asynchronous I/O models
- Familiarity with NVMe protocol, command structure, submission/completion queues, and storage performance concepts.
- Experience analyzing and modifying open source software stacks for performance optimization and platform integration
- Strong debugging and profiling skills across user-space and system-level software.
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