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 seeking a Field Application Engineer (FAE) who will support the deployment and operation of DPU and server products at customer sites while collaborating closely with internal engineering teams to deliver the best possible customer experience.
This role is responsible for the overall technical support process, from pre-sales technical reviews to on-site installation and validation support, first-level troubleshooting, and coordination with SI partners responsible for physical infrastructure deployment. You will play a critical role in ensuring that MangoBoost’s solutions perform reliably and efficiently in global customer environments centered around AI training and inference clusters.
Working closely with Sales, engineering teams, and SI partners, you will help expand MangoBoost’s customer support capabilities and contribute to building a trusted technical support framework for global AI infrastructure deployments.
Responsibilities & Opportunities
- Serve as the primary technical point of contact for customers throughout the entire product lifecycle, from pre-deployment environment reviews to post-deployment support
- Collaborate with SI partners responsible for the physical installation of servers and networking equipment, including communicating technical requirements, validating configurations, and supporting BOM selection
- Lead first-level troubleshooting for hardware, driver, and networking issues, and escalate issues to engineering teams with clear technical analysis
- Communicate customer feedback to engineering teams to help improve product quality, reliability, and usability
- Provide technical training for customers and create customer-facing documentation such as FAQs and troubleshooting guides
- Gain hands-on experience with cutting-edge AI infrastructure environments (GPU/NPU clusters) at leading global customers and contribute to next-generation AI cluster deployments
Required Qualifications
- 3+ years of experience in a related field(FAE, Sales/Systems Engineer, Network Engineer, Technical Support, etc.)
- Hands-on experience managing server systems, Linux environments, and networking equipment in IDC or data center environments
- Practical understanding of L2/L3 networking, server hardware architecture, Linux device drivers, and system operations
- Strong troubleshooting skills across hardware, driver, and networking layers
- Excellent communication skills with the ability to understand customer requirements and clearly convey technical specifications to internal teams and partners
Preferred Qualifications
- Experience working at an SI company or server manufacturer
- Experience supporting large-scale GPU/NPU/HPC cluster environments
- Experience with Kubernetes-based deployment and operations
- Experience with RDMA/RoCEv2 environments and RNIC products(e.g., Mellanox ConnectX series)
- Experience working in high-performance networking environments of 100G or higher
- Business-level English communication skills for collaboration with global customers and internal teams
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.
