Senior Technical Product Manager, Aerial RAN Computer

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2 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA Aerial RAN Computer (ARC) is a key platform within this suite: a high-performance, energy efficient, 6G-ready accelerated computing platform, designed for telecom networks, enabling commercial AI-RAN deployments and on-ramping to AI-native 5G and 6G. It unifies AI and radio access workloads on a software-defined, accelerated infrastructure to boost performance, efficiency, and monetization. We are looking for a highly motivated Product Manager to orchestrate the development of the NVIDIA ARC product portfolio and its ecosystem. The successful candidate will be responsible to drive the roadmap and deliver features that will move the needle for our customers.

What you will be doing:

  • Be responsible for the product lifecycle for ARC portfolio—from concept through launch and lifecycle management

  • Understand and articulate the unique value propositions of different ARC architectures (e.g., ARC-1, ARC-Compact, ARC-Pro, ARC-OTA, etc.) and how they map to specific AI-RAN workloads and use cases

  • Define system-level requirements (PRDs) and prioritize use cases and reference architectures for key verticals including CRAN, DRAN, and 6G research platforms

  • Distill insights from strategic customers and partners to define, prioritize and complete product roadmaps

  • Find opportunities where we uniquely can address customer needs, and translate these into compelling NVIDIA accelerated computing (GPU, CPU, DPU/NIC) value proposition and product proposals

  • Work cross functionally with our partners, engineering, operations & field teams to define solutions and develop comprehensive product GTM plans and product positioning

  • Work with our sales organization to develop effective sales collateral and tools

What we need to see:

  • BS/MS or equivalent experience in Electrical Engineering, or related field

  • 12+ years of product management experience, with a focus on different hardware components(compute building blocks and overall solution)

  • Knowledge of, and capable of explaining compute building blocks such as GPU, CPU, DPU/NIC)

  • Strong wireless communications technical background and understanding of RAN (CU, DU and RU) and networking architectures

  • Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs

  • Outstanding communication and project management skills-very organized with the ability to multitask and prioritize in a fast-paced environment

Ways to stand out from the crowd:

  • Direct development experience with NVIDIA software (Aerial), hardware (GPU, CPU, NIC, DPU) and SDKs

  • Successful management in fast paced environment throughout their lifecycle for embedded products

  • Experience in RU architecture and E2E RAN system

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 9, 2025.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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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