Senior Deep Learning Engineer - AI for Wireless Systems

NVIDIA is looking for exceptional technical talent to help build the future of AI-native wireless networks. As part of our global 6G initiative, we are developing next-generation signal processing and radio access technologies that integrate deep learning at their core. From physical layer optimization to full-stack AI-powered RAN, we’re reimagining how wireless systems are designed, trained, and deployed. At NVIDIA Vietnam R&D Center (VRDC), you’ll join a world-class team shaping the next wave of innovation at the intersection of deep learning, wireless communications, and high-performance computing.

What You’ll Be Doing

• Design and prototype deep learning models for deployment in RAN-relevant applications.
• Work with simulation tools and real-world datasets to build models that generalize across diverse scenarios.
• Implement, train, and validate neural networks (e.g., CNNs, Transformers, GNNs) using PyTorch or TensorFlow.
• Collaborate with researchers and system engineers to integrate models into full-stack systems and pipelines (RAN integration is a plus).
• Optimize model performance for real-time inference and hardware acceleration.
• Contribute to model evaluation, benchmarking, and deployment readiness on GPU platforms.

What We Need To See

• MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field (or equivalent experience).
• 12+ years of experience in AI/ML and deep learning (wireless/signal processing experience is a plus, not required).
• Strong experience in training, optimizing and deploying deep learning models for time-series, sequence, or signal-like tasks.
• Solid understanding of modern neural architectures (e.g., CNNs, Transformers; GNNs a plus), training pipelines, and evaluation methodology.
• Proficiency in Python and experience with DL frameworks like PyTorch or TensorFlow.

Ways To Stand Out From The Crowd

• Strong track record of delivering production-grade ML models, including benchmarking, robustness work, and deployment readiness.
• Knowledge of model compression, real-time inference, GPU optimization, and performance tuning.
• Exposure to CUDA, Triton, or real-time inference pipelines.
• Experience with AI for 5G/6G systems, AI-for-RAN architecture, or telecom-grade deployments (nice to have).
• Contributions to research publications or open-source ML or wireless projects (wireless is a plus, not required).

At NVIDIA, you will join a world-class team building breakthrough technologies at the intersection of AI and wireless systems. Our Vietnam R&D Center is rapidly growing as a hub of innovation and collaboration, shaping the future of AI-native infrastructure. If you are passionate about AI, excited by wireless systems, and ready to help define the future of 6G, we want to hear from you.

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