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Distinguished Engineer - Wireless Infrastructure

NVIDIA· Distinguished Engineer
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Santa Clara, CA, Remote$320k - $488.8kFull-timePosted 4mo ago

About the role

Senior technologist leading AI/ML-enabled next-generation wireless infrastructure, focusing on AI-RAN, agentic core, ISAC, SemCom, and Physical AI on a software-defined Telco Edge, with emphasis on GPU-accelerated platforms and industry collaboration.

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 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 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.

Qualifications

  • 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.

Skills

Required:AI/ML in RAN5G NR PHY/L1 and L2 mac-schedulerRAN applications architectureUPF (user plane function)Programming languagesStatistical analysis

Benefits

  • equity
  • benefits
Last updated Jul 3, 2026. Interested? Apply on the company site.

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