Nvidia Engineering Manager - AI RAN 6G Wireless Systems 

Vietnam, Thái Nguyên Province, Thái Nguyên 

40381922

What You’ll Be Doing:

• Lead and grow a high-impact engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN).

• Guide the development of deep learning models for tasks such as channel estimation, beamforming, link adaptation, and CSI compression.

• Collaborate with global teams across architecture, research, and systems to drive proof-of-concepts and production-quality AI-RAN components.

• Oversee integration of AI models into full-stack 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, or related field.

• 10+ overall years of experience in wireless communications, signal processing, or AI/ML, with at least 3+ years of technical leadership experience.

• Deep understanding of wireless PHY/MAC systems, including MIMO, OFDM, and adaptive filtering.

• Proven experience developing or deploying neural network architectures (e.g., CNNs, Transformers) in real-world AI or signal processing applications.

• 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:

• 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

• Familiarity with RIS, massive MIMO, or THz communication challenges.

• Track record of research, publications, or open-source contributions in AI-for-wireless.