Forward Deployed Engineer (AI Infrastructure)

Location: Singapore; ability to work on-site at customer locations and travel up to 25% as required

Company

Data platform company building enterprise infrastructure for capturing, managing, protecting, and analyzing massive datasets used in AI training and inference.

What you will do

• Work directly with customer architects, operators, and developers to design and operate strategic deployments.
• Optimize infrastructure throughput and debug complex distributed systems, storage, and networking issues.
• Develop custom API endpoints, automation tools, and scripts for critical customer workflows.
• Translate operational insights and customer requirements into precise technical requirements for core product teams.
• Advocate for customer needs while protecting product quality and roadmap priorities.
• Coordinate with engineering teams on builds, hotfixes, roadmap updates, and code reviews.

Requirements

• 5+ years of experience in a highly technical engineering role with customer-facing collaboration.
• Deep knowledge of distributed systems, high-performance file systems, storage protocols, and performance tuning.
• Strong understanding of InfiniBand, RoCE/RDMA, and 100GbE+ networking.
• Advanced knowledge of Linux architecture, memory management, and kernel mechanics.
• Proficiency in Python and C/C++, including debugging and contributing to complex enterprise codebases.
• Ability to manage high-stakes technical issues, communicate with both executives and developers, and work independently.

Nice to have

• Experience operating large-scale AI training or HPC clusters.
• Experience with Docker, Kubernetes, PyTorch, or TensorFlow.

Culture & Benefits

• Direct impact on infrastructure supporting AI training, inference, and real-time data analysis.
• Close collaboration with global engineering teams and strategic enterprise customers.
• Hands-on exposure to advanced distributed storage, networking, and AI infrastructure.
• Up to 25% travel to customer locations.