Distinguished Engineer - Wireless Infrastructure

NVIDIA is hiring a Distinguished Engineer - Wireless Infrastructure in Santa Clara, United States. It pays $320k-$489k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions GPUs, wireless infrastructure and AI ran among its tools and skills.
Level classes it as an executive role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Lead technology strategy and architecture for AI-native wireless infrastructure and 6G RAN systems at Nvidia.

gpus

wireless-infrastructureai-ran5g6gmachine-learningsignal-processing

Nvidia is developing accelerated platforms and technologies for next generation Telecom Wireless infrastructure. We are focused on AI-RAN and Agentic Core to deliver unparalleled performance and spectral efficiency. Additionally, we are building innovative technologies for new use cases in Integrated Sensing and Communications (ISAC), Semantic Communications (SemCom) and Physical AI on a fully software defined Telco Edge infrastructure. We are looking for a motivated and energetic senior technologist for the role of Distinguished Engineer, Wireless Infrastructure.

What you will be doing:

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 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.

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.
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.

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 June 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Distinguished Engineer - Wireless Infrastructure at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Distinguished Engineer - Wireless Infrastructure is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $320k-$489k a year.
The role is based in US, CA, Santa Clara.
The job was posted on June 12, 2026.
Seniority: executive.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Wireless InfrastructureAI Ran5g6gMachine learningSignal ProcessingGPUs

Questions you could be asked

Tell me about a project where wireless infrastructure was part of your work. What did you do?
Tell me about a project where ai ran was part of your work. What did you do?
Tell me about a project where 5g was part of your work. What did you do?
Tell me about a project where 6g was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Wireless Infrastructure, AI Ran, 5g, 6g, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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