At NVIDIA, we are at the forefront of innovation in AI, accelerated computing, and networking. Our work is redefining industries from healthcare and automotive to telecommunications. NVIDIA Aerial RAN Computer (ARC) is a key platform for the telco market: 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:
- Work with Aerial team driving the next wave of AI-RAN Telco products
- Responsible for the product lifecycle for ARC products, from concept through launch and lifecycle management
- Understand and articulate the unique value propositions of AI-RAN for telco deployments across all RAN elements (CU, DU and RU), covering both 5G and 6G.
- Define system-level requirements (PRDs) and prioritize use cases and reference architectures for key verticals including C-RAN, D-RAN, and 6G research platforms.
- Distill insights from strategic customers and partners to define, prioritize and complete product roadmaps
- Find opportunities where NVIDIA uniquely can address customer needs, and translate these into compelling 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 (or similar) experience, with a focus on different 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:
- Detailed insights into how RAN building (CU, DU and RU) blocks interact across different splits (7.2x / CAT-A / CAT-B, ULPI and fronthaul (eCPRI/CPRI)).
- TCO analysis of telco deployments, with functional tradeoffs between baseband (CU+DU) and Radio (RU)
- Direct development experience with NVIDIA software (Aerial), hardware (GPU, CPU, NIC, DPU) and SDKs
- Successful product launches at telcos, for 4G or 5G technology, covering both Baseband (CU, DU) and Radio (RU)
You will also be eligible for equity and benefits.
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.Skills Required
- BS/MS degree or equivalent experience in Electrical Engineering or a related field
- 12+ years of product management or similar experience focused on compute building blocks and overall solutions
- Knowledge of compute building blocks including GPU, CPU, and DPU/NIC
- Strong wireless communications technical background
- Understanding of RAN and networking architectures, including CU, DU, and RU
- Ability to tackle complex problems and make sophisticated trade-offs
- Outstanding communication and project management skills, including organization, multitasking, and prioritization
- Detailed understanding of RAN building blocks, splits, and fronthaul technologies including 7.2x, CAT-A, CAT-B, ULPI, eCPRI, and CPRI
- Experience with TCO analysis of telecom deployments and baseband versus radio tradeoffs
- Direct development experience with NVIDIA Aerial, GPU, CPU, NIC, DPU, and SDKs
- Successful product launches at telecommunications companies for 4G or 5G technologies covering baseband and radio
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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.”
