Engineering Manager - AI for RAN and 6G 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

Wireless Communications, AI, Telecommunications, 6GIndustries

Requirements

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

Responsibilities

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

Skills

PyTorch

TensorFlow

NVIDIA Sionna

Python

deep learning

signal processing

MIMO

OFDM

beamforming

channel estimation

CSI compression

CNNs

Transformers

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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