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FPGA Platform Development Engineer (Seoul, South Korea)

MangoBoost Korea · 경력 · D-Infinity · 마감
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Position Overview

MangoBoost is actively seeking a highly skilled and motivated FPGA Engineer to join our Hardware Development Group. In this role, you will be responsible for FPGA IP integration, synthesis, timing

closure, and validation, as well as developing FPGA prototypes for ASIC verification. You will drive commercial-grade FPGA projects from initial development all the way through deployment, playing a key role in building next-generation high-performance hardware platforms for both ASIC and FPGA

targeting.


Responsibilities & Opportunities


Required Qualifications


Preferred Qualifications



About us

MangoBoost, Inc.

Agentic AI is fundamentally reshaping the paradigm of AI infrastructure. As environments emerge where countless AI agents operate simultaneously, conventional data center architectures are reaching their limits in both performance and efficiency. In response to this shift, MangoBoost is pioneering a new approach with its full-stack AI infrastructure solution designed to innovate every layer of the AI data center.

From LLMBoost, our AI inference optimization software, to GPU and storage systems powered by our proprietary DPU architecture, and orchestration software that seamlessly integrates and manages the entire stack, MangoBoost designs and develops every layer of AI infrastructure in-house. Rather than building isolated products, we focus on eliminating system-wide bottlenecks and fundamentally addressing inefficiencies across the entire infrastructure stack.

MangoBoost’s technology minimizes data movement and coordination overhead while maximizing overall system resource utilization, enabling exceptional performance and optimized total cost of ownership (TCO) for customers. Today, our solutions are already being deployed within real-world AI infrastructure environments through global partners, validating the strength of our technology. Through these efforts, MangoBoost is establishing a new global standard for AI data centers.


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