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.

Position Overview

MangoBoost is engineering the full-stack AI infrastructure driving next-generation, hyper-scale AI data centers—spanning advanced AI networking, next-gen GPU systems, high-performance storage, and the full-stack software ecosystem. Within this mission, the RDMA Software team builds the RDMA NIC for ultra-fast, high-efficiency communication in scale-out AI systems. The team owns the NIC's entire software stack, including the Linux kernel driver, the user-space library, the SDK, and developer tooling. On this team, you will design and implement MangoBoost's newest RDMA capabilities and improve the NIC's performance and reliability for large-scale AI workloads. You will also work closely with the hardware architecture team on hardware-software co-design.

Responsibilities & Opportunities

Design and maintain the Linux kernel driver and user-space library for MangoBoost's RoCEv2 NIC
Implement MangoBoost's advanced RDMA features and the supporting SDK
Build the CLI and tooling that make the RNIC easy to deploy, configure, and validate in production environments
Collaborate directly with HW logic design and verification teams to co-design hardware-software interfaces, bring up new features, and root-cause hw/sw boundary issues
Optimize throughput, latency, and reliability for large-scale multi-node AI workloads

Required Qualifications

BS, MS, or PhD in CS, EE, CE, or equivalent practical experience
2+ years of industry or academic experience in systems programming
Strong C and Linux systems development skills (kernel, drivers, or other low-level systems software)
Strong problem-solving and debugging skills spanning user space, kernel, and hardware interactions
Solid understanding of modern data center architectures, topologies, and high-speed devices

Preferred Qualifications

Background in RDMA, DPU/SmartNIC, or high-performance networking
Experience with GPU clusters and modern training/inference infrastructure
Experience with PCIe and device driver development

Notice Regarding Return of Hiring Documents

This notice is in accordance with Article 11, Section 6 of the Fair Hiring Procedure Act, which allows job applicants, excluding the final successful candidate, to request the return of any recruitment documents they have submitted.
Job applicants who were not selected as the final candidates in the recruitment process are entitled to request the return of the recruitment documents they submitted within 180 days of the date the employment decision is confirmed. However, this does not apply to documents submitted via the website or email, or documents voluntarily submitted by the applicant without the company’s request. If the recruitment documents are lost due to natural disasters or other reasons for which the company is not responsible, it will be considered as having been returned.
Applicants wishing to request the return of their recruitment documents should fill out the Request for Return of Hiring Documents [Form 3 of the Enforcement Rules of the Fair Hiring Procedure Act] and submit it by email (recruiting@mangoboost.io). The documents will be sent by registered mail to the designated address within 14 days from the confirmation of submission. Please note that the cost of registered mail will be borne by the recipient.
The company will keep the recruitment documents for 180 days following the confirmation of the employment decision. If no request for the return of documents is made within that period, the company will dispose of all recruitment documents without delay in accordance with the Personal Information Protection Act.