NVIDIA AI SOFTWARE ENGINEER
About the company
Job Overview Digital Tech Asia is looking for an experienced NVIDIA AI Software Engineer to join an AI Compute / Data Center project.
Your tasks
The ideal candidate will have strong hands-on experience in NVIDIA AI software, GPU computing, and AI inference infrastructure. You will be responsible for building, configuring, optimizing, and troubleshooting AI inference stacks across local GPU environments and cloud-based infrastructure.
- Design, build, configure, and optimize AI inference stacks for NVIDIA RTX, DGX, and multi-GPU cloud environments.
- Implement and optimize AI workloads using NVIDIA CUDA, TensorRT, NeMo, and NVIDIA NIM.
- Work with modern AI inference and execution frameworks, including PyTorch, vLLM, Llama.cpp, and TensorRT.
- Optimize GPU utilization, inference performance, latency, and throughput.
- Implement and support topology-aware scheduling tools for GPU workloads.
- Troubleshoot GPU computing, AI software, and inference performance issues.
- Support deployment, integration, and optimization of AI models across local and cloud-based environments.
- Collaborate with infrastructure and AI engineering teams to improve AI Compute platform performance.
- Provide technical expertise and documentation for NVIDIA AI software and tooling.
Requirements
Candidates should have practical experience with NVIDIA technologies, including CUDA, NVIDIA NeMo, NVIDIA NIM, and modern AI execution frameworks.
Requirements & Qualifications
- Minimum 5 years of experience in AI Software Engineering, GPU Computing, Machine Learning Infrastructure, or a related field.
- Strong hands-on experience building and optimizing AI inference stacks.
- Practical experience with NVIDIA GPU platforms, particularly RTX, DGX, or multi-GPU cloud environments.
- Strong knowledge of NVIDIA CUDA and GPU computing.
- Experience with NVIDIA NeMo frameworks and NVIDIA NIM.
- Hands-on experience with PyTorch, vLLM, Llama.cpp, and TensorRT.
- Understanding of GPU architecture, multi-GPU execution, and inference optimization.
- Experience with topology-aware scheduling or GPU workload scheduling tools.
- Strong troubleshooting and problem-solving skills.
- Good English communication skills (mandatory).
Skills:
- Multi-gpu Infrastructure
- Ai Performance Optimization
- PyTorch
- Topology-aware Scheduling
- llama.cpp
- Nvidia CUDA
- TensorRT
- GPU Computing
- Nvidia Nemo
- vLLM
- Nvidia Rtx / Dgx
- Ai Model Inference
Other
Company: Digital Tech Asia Location: Jakarta, Indonesia (Onsite) Employment Type: Contract (6–12 Months, Extendable) Experience: Minimum 5 Years Language: English (Required) Availability: Immediate Joiner Preferred