Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
Algorithms @ 4
Machine Learning @ 7
Leadership @ 7
Communication @ 7
Mathematics @ 7
Matlab @ 7
System Architecture @ 4
GPU @ 4
AI @ 4
Agentic AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nvidia is developing accelerated platforms and technologies for next generation Telecom Wireless infrastructure, focused on AI-RAN and Agentic Core to deliver performance and spectral efficiency. The team is also building technologies for Integrated Sensing and Communications (ISAC), Semantic Communications (SemCom) and Physical AI on a fully software-defined Telco Edge infrastructure. This role is for a motivated and energetic senior technologist as a Distinguished Engineer, Wireless 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 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 industry standards and consortiums (3GPP, AI-RAN and O-RAN) for next-generation 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 an 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 and proven experience applying AI techniques into RAN (L1, L2+) pipelines.
- Solid foundation in statistical analysis and strong understanding of mathematics behind RAN algorithms.
- Strong hands-on experience with programming languages such as Python, C/C++, and Matlab.
- Demonstrable experience working with Telecom Service Providers deploying commercial networks is a definite plus.
Ways to stand out
- 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.
Compensation & Other details
- Base salary range: 320,000 USD - 488,750 USD (will be determined based on location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits (link to NVIDIA benefits provided in original posting).
- Applications accepted at least until June 16, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and inclusion.