Senior Deep Learning Engineer - AI for Wireless Systems at NVIDIA

Hanoi, Hanoi, Vietnam

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Telecommunications, TechnologyIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Deep LearningPyTorchTensorFlowCNNsTransformersGNNsWireless CommunicationsSignal ProcessingMIMOOFDMChannel EstimationBeam AlignmentMATLABGNU RadioNVIDIA SionnaGPU5G6G

Questions & Answers

Common questions about this position

What experience level is required for this Senior Deep Learning Engineer role?

The role requires an MS or PhD in Electrical Engineering, Computer Engineering, or a related field (or equivalent experience), along with 12+ years of experience in wireless communications, signal processing, or AI/ML.

What key technical skills are needed for this position?

Candidates need a deep understanding of communication systems like MIMO, OFDM, and fading channels, strong experience in training and deploying deep learning models for time-series or signal-based tasks, and proficiency in Python with DL frameworks like PyTorch or TensorFlow.

Where is this job located?

The position is at NVIDIA Vietnam R&D Center (VRDC).

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with experience in AI for 5G/6G systems, AI-for-RAN architecture, channel estimation by AI, model compression, real-time inference, GPU optimization, CUDA, Triton, or contributions to research publications and open-source wireless/AI projects.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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