Staff AI Infrastructure Engineer

CLOUDERA SINGAPORE PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Generous PTO Policy

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement

Continued Career Development

Comprehensive Benefits and Competitive

Packages

Job summary

Cloudera Singapore is seeking a Staff Systems Engineer – AI Infrastructure to design and deliver robust GPU‑based AI workloads across on‑premises, private infrastructure, and public clouds. You will turn complex workload challenges into validated, scalable infrastructure solutions through hands‑on experimentation and benchmarking.

You will diagnose Linux, GPU runtimes, containers, and networking issues, optimize performance, and collaborate with product teams to implement reusable platform

Qualifications

• 8+ years of experience in systems software, distributed infrastructure, platform engineering, performance engineering, or a related field.
• Hands-on experience with production GPU-based infrastructure supporting AI workloads.
• Ability to take ambiguous problems, develop hypotheses, investigate root causes, and build or validate solutions.
• Strong understanding of distributed systems, Linux, containers, and production infrastructure.
• Demonstrated ability to diagnose and optimize bottlenecks involving GPU utilization, compute, memory, networking, I/O, or workload/runtime behavior.
• Hands-on experience designing or operating production infrastructure in on-premises, private-cloud, and/or public-cloud environments.

Responsibilities

• Work across AI Infrastructure & Systems Engineering to investigate and design solutions for AI workloads across heterogeneous GPU environments.
• Develop and optimize infrastructure solutions for production AI workloads, including inference and serving.
• Diagnose issues across Linux, GPU runtimes and drivers, containers, networking, storage, and hardware.
• Investigate approaches for efficiently allocating GPU resources across AI workloads.
• Build diagnostic, benchmarking, deployment, and validation tooling.
• Translate infrastructure findings into technical requirements and product improvements with cross-functional teams.

Skills

Distributed systems

Linux

Containers

GPU workloads

Problem solving

Tools

Kubernetes

NVIDIA MIG

Triton

Job description

Cloudera Singapore is seeking a Staff Systems Engineer – AI Infrastructure to design and deliver robust GPU‑based AI workloads across on‑premises, private infrastructure, and public clouds. You will turn complex workload challenges into validated, scalable infrastructure solutions through hands‑on experimentation and benchmarking.

You will diagnose Linux, GPU runtimes, containers, and networking issues, optimize performance, and collaborate with product teams to implement reusable platform