NVIDIA is looking for exceptional technical leaders 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:
Lead and grow a high-impact engineering team focused primarily on deep learning model development and deployment (ML/DL is the core focus).
Guide the development of deep learning models and architectures (e.g., CNNs, Transformers) for real-world integration and/or deployment.
Collaborate with global teams across architecture, research, and systems to drive proof-of-concepts and production-quality AI components.
Oversee model training/evaluation and integration into simulations and/or testbeds using frameworks such as PyTorch, TensorFlow, and NVIDIA Sionna.
Align project priorities with hardware-software co-design constraints and deployment scenarios on NVIDIA platforms.
Mentor team members, ensure technical excellence, and contribute to strategic direction.
What We Need to See:
MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
10+ overall years of experience in AI/ML or deep learning, with at least 3+ years of technical leadership experience.
Proven experience developing or deploying neural network architectures (e.g., CNNs, Transformers) in real-world applications.
Strong fundamentals in machine learning and deep learning, including training pipelines, evaluation, and model iteration.
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Strong collaboration and communication skills across multi-disciplinary teams and geographies.
Ways to Stand Out from the Crowd:
Strong track record of delivering production-grade ML systems and/or leading applied research to deployment.
Knowledge of model compression, real-time inference, GPU optimization, or performance tuning for deployment.
Experience with AI for 5G/6G systems, AI-for-RAN architecture, or telecom-grade deployments (nice to have).
Familiarity with RIS, massive MIMO, or THz communication challenges (nice to have).
Track record of research, publications, or open-source contributions in ML/DL (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.
