NVIDIA Logo

NVIDIA

Senior Technical Product Manager, Aerial RAN Computer

Sorry, this job was removed at 08:14 a.m. (PST) on Monday, Dec 08, 2025
Be an Early Applicant
In-Office or Remote
2 Locations
In-Office or Remote
2 Locations

Similar Jobs

17 Days Ago
Remote
United States
Senior level
Senior level
Payments • Software
As a Senior Technical Product Manager, you will oversee delivery, drive data-informed growth, and ensure cross-functional alignment to enhance the marketplace and platform experience.
Top Skills: AmplitudeAPIsConfluenceFullstoryGitJIRALookerMixpanelSegment
9 Days Ago
Easy Apply
Remote
2 Locations
Easy Apply
Senior level
Senior level
AdTech • Marketing Tech
As a Technical Product Manager, you will research user needs, coordinate integrations, deliver products with engineers, and ensure effective communication across teams.
Top Skills: APIsSaaS
14 Days Ago
Remote
United States
Senior level
Senior level
Software • Cryptocurrency
The Technical Product Manager will drive the expansion of data use cases, manage product lifecycle, optimize costs, and coordinate between teams, focusing on digital assets and enterprise software solutions.
Top Skills: BlockchainsData WarehousesErp SystemsJIRANetSuiteOracleQuickbooks

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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account