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 wireless signal processing tasks such as channel estimation, beam alignment, link adaptation, and scheduling.
Work with simulation tools and real-world datasets to build models that generalize across diverse wireless 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 RAN.
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, or a related field (or equivalent experience).
12+ years of experience in wireless communications, signal processing, or AI/ML.
Deep understanding of communication systems (e.g., MIMO, OFDM, fading channels) and DSP fundamentals.
Strong experience in training and deploying deep learning models for time-series or signal-based tasks.
Proficiency in Python and experience with DL frameworks like PyTorch or TensorFlow.
Familiarity with tools such as MATLAB, GNU Radio, or NVIDIA Sionna for wireless simulation.
Ways to Stand Out from the Crowd:
Experience with AI for 5G/6G systems, AI-for-RAN architecture, or telecom-grade deployments.
Knowledge of channel estimation by AI, model compression, real-time inference, or GPU optimization
Exposure to CUDA, Triton, or real-time inference pipelines.
Contributions to research publications or open-source wireless/AI projects.
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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
