Distinguished Engineer - Wireless Infrastructure

Details

NVIDIA is developing accelerated platforms and technologies for next-generation telecom wireless infrastructure, focused on AI-RAN, Agentic Core, Integrated Sensing and Communications (ISAC), Semantic Communications (SemCom), and Physical AI on a fully software-defined Telco Edge infrastructure.

Responsibilities

• 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 networks (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.
• Work with industry partners and customers to rapidly drive innovations into deployable products and solutions.
• Work with industry standards and consortiums, including 3GPP, AI-RAN, and O-RAN, to advance next-generation technology with AI-native approaches.
• Drive development of new applications in ISAC, Semantic Communications, Physical AI at the Edge, and related areas.
• Drive system architecture, requirements, design, development, performance optimization, and benchmarking for the AI-for-RAN software stack.
• Identify, pathfind, and develop new acceleration technologies for next-generation NVIDIA hardware.

Requirements

• Master's or PhD degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• More than 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 in system-level optimization.
• Proven experience designing and developing 5G NR PHY/L1 and L2 MAC-scheduler algorithms.
• Expertise in architecting wireless-core technologies, including accelerated User Plane Function (UPF).
• Deep expertise in artificial intelligence and machine learning, with proven experience applying AI techniques to RAN L1 and L2+ pipelines.
• Strong foundation in statistical analysis.
• Strong understanding of the mathematics behind RAN algorithms.
• Strong hands-on experience with Python, C/C++, and MATLAB.
• Experience working with telecommunications service providers deploying commercial networks is a plus.
• Strong leadership, communication, and problem-solving skills.
• Demonstrated success leading impactful innovations and converting them into commercial products.
• A strong body of work at the intersection of AI, cloud, and wireless technologies.
• Strong exposure to wireless standardization and related industry consortiums.
• Ability to excel in a fast-paced and collaborative environment.

Benefits

The role includes eligibility for equity and benefits. NVIDIA is committed to an inclusive work environment and is an equal opportunity employer. NVIDIA uses AI tools in its recruiting processes.

Applications for this job will be accepted at least until June 16, 2026. This posting is for an existing vacancy.