AI Infra Engineer (ML Platform, AI Native production, Algorithm, cutting-edge technology, multinational company)

Our client is a well-funded AI company operating at significant scale, building and running the large-scale compute infrastructure that powers frontier model training and inference. They are looking for a strong infrastructure engineer to design, operate, and continuously improve their GPU cluster platform. This is a high-impact, deeply technical role sitting at the intersection of distributed systems, ML platform engineering, and large-scale operations — ideal for engineers who want to work close to the metal on some of the most demanding infrastructure challenges in the industry.

What You’ll Do

• Own the compute platform that supports large-scale AI model training and serving.
• Improve how GPU resources are shared and scheduled across teams and workloads.
• Solve infrastructure bottlenecks across compute, storage, networking, and distributed communication.
• Develop platform capabilities that make cluster operations more automated, observable, and reliable.
• Work with AI engineering teams to improve workload performance and overall infrastructure efficiency.

What We’re Looking For

• 3+ years of experience building large-scale infrastructure or distributed platforms.
• Strong knowledge of Kubernetes and containerized environments, with practical experience operating production clusters.
• Solid understanding of Linux systems, resource scheduling, storage, and networking.
• Exposure to GPU clusters, distributed training, NCCL/RDMA or HPC networking is highly preferred.
• Strong programming ability in Go, Python, or C++.
• Experience supporting large-scale ML/AI workloads is a strong advantage.
  

If you are passionate about technology and meet the above requirements, please don't hesitate to apply. Please note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

Dada Consultants Pte Ltd

Website: www.dadaconsultants.com

EA License No.: 18S9037

Business Registration Number: 201735941W