Hiring.Camp

Distinguished Engineer - 6G Architecture Leader

Nvidia

·

Jan 9, 2026

Location
Santa Clara, CA,US, US · NH,US, US · MA,US, US
Workplace
Remote
Type
Full-time
Department
Engineering
Seniority
Lead
Education
PhD
Source
Eightfold

Description

We are developing accelerated platforms and technologies for 6G Radio Access Network (RAN), with emphasis on AI for RAN to deliver unparalleled performance and spectral efficiency. Additionally, we are building new technologies for 6G use cases in Integrated Sensing and Communications (ISAC) and Semantic Communications (SemCom). We are looking for a motivated and energetic senior technologist for the role of 6G Architect and Distinguished Engineer. What you will be doing: Lead the technology strategy for 6G spanning system, platform, and software architecture. Seek and apply AI/ML approaches for key functions and pipelines of 6G radio access network (RAN). 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 6G technology with AI Native approaches. Drive development of new applications in Integrated Sensing and Communications (ISAC), Semantic Communications 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. What we need to see: 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. 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. Ways to stand out from the crowd: Strong leadership, communication, and problem-solving skills. Demonstrated success in leading impactful innovations and converting them to commercial products. A strong body of work at the intersection of AI, Cloud and Wireless technologies. Strong exposure to wireless standardization and associated industry consortiums. Proven ability to excel in a fast paced and collaborative environment. NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills

PythonMachine LearningPrototyping

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