Senior Deep Learning Engineer - AI for Wireless Systems at NVIDIA

Hanoi, Ha Noi, Vietnam -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Wireless Communications, Signal Processing, Neural Networks, PyTorch, TensorFlow, Python, MIMO, OFDM, DSP Fundamentals, Channel Estimation, Beam Alignment, Link Adaptation, Scheduling, GPU Optimization, Real-Time Inference

Industry

Computer Hardware Manufacturing

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 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Design and prototype deep learning models for wireless signal processing tasks. Collaborate with researchers and system engineers to integrate models into full-stack RAN.