Senior Deep Learning Engineer - AI for Wireless Systems

Job description

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.