NVIDIA AI Software Engineer (AI Data Center)
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Job Summary
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About the Role
Our client an AI data center operator in Jakarta is looking for an NVIDIA AI Software Engineer to provide technical expertise in NVIDIA AI software GPU computing and inference technologies.
You will build and optimize AI inference stacks across local and cloud-based GPU environments working with modern frameworks NVIDIA software tools and topology-aware scheduling technologies to support efficient AI workload execution.
What Youll Do
Build and optimize local or cloud-based AI inference stacks for NVIDIA RTX DGX and multi-GPU environments.
Work with modern AI frameworks and execution technologies such as PyTorch vLLM and TensorRT.
Support AI software and tooling including CUDA NVIDIA NeMo and NVIDIA NIM.
Contribute to topology-aware scheduling and GPU workload optimization.
Investigate inference performance bottlenecks and improve GPU utilization throughput and latency.
Troubleshoot software framework and runtime issues across AI environments.
Document technical configurations deployment practices and optimization approaches.
What Were Looking For
5 years of experience building and optimizing AI inference stacks in local cloud or multi-GPU environments.
Hands-on experience with AI frameworks or inference technologies such as PyTorch vLLM or TensorRT.
Working knowledge of CUDA and the NVIDIA AI software ecosystem.
Familiarity with NVIDIA NeMo NIM DGX RTX or related technologies.
Understanding of AI inference deployment GPU performance optimization and workload execution.
Experience with topology-aware scheduling tools is an advantage.
Strong technical troubleshooting and problem-solving skills.
Good command of English (mandatory).
Why Join
Work with NVIDIA AI software and modern inference frameworks.
Optimize AI workloads across GPU computing environments.
Develop expertise in AI inference GPU performance and deployment technologies.
Collaborate with specialists in AI software and infrastructure operations.
