Nvidia Senior Deep Learning Engineer - AI Wireless Systems 

Vietnam, Thái Nguyên Province, Thái Nguyên 

492511814

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.