Distinguished Engineer - Wireless Infrastructure

NVIDIA is seeking a Distinguished Engineer to lead the technology strategy for next-generation wireless infrastructure, focusing on AI-RAN and Agentic Core. The ideal candidate will have 20+ years of experience in computer science, electrical engineering, or a related field.

Key Responsibilities:

• Lead technology strategy for next-generation wireless infrastructure spanning systems, platforms, and software architecture.
• 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 the value proposition and benefits of GPU-accelerated platforms.
• Collaborate with industry partners and customers to drive innovations into deployable products and solutions.
• Work with industry standards and consortiums (3GPP, AI-RAN, and O-RAN) for 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:

• 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.
• Solid foundation in statistical analysis.
• Strong understanding of mathematics behind RAN algorithms.
• Strong hands-on experience with programming languages such as Python, C/C++, Matlab.

Benefits:

• Equity and benefits eligibility
• Opportunity to work with a leading technology company
• Collaborative and fast-paced environment