Distinguished Engineer – Wireless Infrastructure

NVIDIA

Lead technology strategy for next-generation wireless infrastructure at NVIDIA, spanning systems, platforms, and software architecture. Drive innovations in AI-RAN and Agentic Core technologies.

Posted 6/12/2026full-timeSanta Clara • California, Massachusetts, New Hampshire • 🇺🇸 United StatesSeniorLead💰 $320,000 - $488,750 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead the technology strategy for next generation wireless infrastructure spanning systems, platforms, and software architecture
Seek and apply AI/ML approaches for key functions and pipelines of 6G radio access network (RAN)
Transform the wireless core into an agentic AI based packet core architecture
Drive rapid prototyping of new algorithms to establish value proposition and benefits of GPU accelerated platforms
Work with industry ecosystem - partners and customers - to rapidly drive innovations into deployable products and solutions
Work with the industry standards and consortiums - 3GPP, AI-RAN and O-RAN - for a transformational next-G technology with AI Native approaches
Drive development of new applications in Integrated Sensing and Communications (ISAC), Semantic Communications, Physical AI at the Edge and more
Drive system architecture, requirements, design, development, performance optimizations, and benchmarks for AI-for-RAN software stack
Identify, pathfind, and develop new acceleration technologies into next generation NVIDIA hardware

Requirements

What you’ll need

MS or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience)
20+ years of proven industry experience
Deep technical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding
Expertise in architecting and developing RAN applications and proven expertise in system level optimizations
Proven experience in 5G NR PHY/L1 and L2 mac-scheduler algorithms design and development
Expertise in architecting wireless core technologies including accelerated user plane function (UPF)
Deep expertise in AI and Machine Learning
Proven experience in applying AI techniques into RAN (L1, L2+) pipelines
Solid foundation in statistical analysis
Strong understanding of mathematics behind RAN algorithms
Strong hands-on experience on programming languages such as Python, C/C++, Matlab
Demonstrable experience working with Telecom Service Providers deploying commercial networks is a definite plus.

Benefits

Comp & perks

equity
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Hard Skills & Tools

AIMachine Learningcommunication systemsbaseband signal processing5G NR PHYL1 mac-scheduler algorithmswireless core technologiesstatistical analysisPythonC/C++

Certifications

MS in Computer SciencePhD in Electrical Engineering