Senior Technical Product Manager, RAN Digital Twin

NVIDIA is seeking a highly motivated Product Manager to lead the end-to-end development and ecosystem strategy for our Radio Access Network (RAN) Digital Twin portfolio. As 5G evolves toward AI-native 6G, the ability to simulate, optimize, and validate radio access networks in a physically accurate digital environment is essential. This role unifies high-performance computing, AI, and wireless simulation on a software-defined, accelerated infrastructure to boost performance and efficiency for global telecom operators. The successful candidate will be responsible to drive the roadmap and deliver features that will move the needle for our customers!

What you'll be doing:

• End-to-End Lifecycle: Take responsibility for the product lifecycle of the RAN Digital Twin portfolio, handling everything from initial concept through launch and ongoing lifecycle management.

• Architectural Strategy: Articulate the outstanding value propositions of different digital twin architectures and map them to specific workloads and telco use cases.

• Requirements Definition: Define product requirements (PRDs) and prioritize reference architectures for key verticals

• Strategic Roadmap: Distill insights from strategic customers and partners to define, prioritize, and execute product roadmaps.

• Competitive Landscape: Analyze competitive products, technologies, and solutions. Engage with key opinion leaders to evaluate next-generation technology adoption and trends for digital-twin-powered networks

• Value Proposition: Identify opportunities where NVIDIA can uniquely address customer needs by develop a detailed business requirement, user stories, product definition and specifications, and value propositions

• Cross-Functional Teamwork: Work with engineering, operations, and field teams to develop comprehensive Go-To-Market (GTM) plans and product positioning.

• Sales Enablement: Partner with the sales organization to build effective collateral and tools to drive adoption of digital twin technologies

What we need to see:

• 8+ years of product management experience in wireless communications industry and 7+ years of product management experience in software simulation tools and workflows, high performance computing, and/or SaaS tool development

• BS/MS or equivalent experience in Electrical Engineering, Computer Science, or a related technical field.

• Technical Literacy: Deep customer insights and business perspective on RAN digital twins, spanning researchers, developers, platform integrators, network equipment vendors to telecom operators

• Wireless Domain Knowledge: A strong technical background in wireless communications and a detailed understanding of AI-native RAN, covering end-to-end systems in both hardware and software.

• A strong desire to learn, motivation to tackle complex problems, and the ability to make sophisticated technical and business trade-offs.

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

Ways to stand out from the crowd:

• Direct experience with NVIDIA software (such as Aerial, Omniverse), hardware and relevant SDKs.

• Experience with large-scale simulations, large-scale data bases, and simulation scenarios involving multi-sensor data

• Proven track record of product ownership from concept to broad launch, and strong technical background leading innovative new platform development

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 150,000 CAD - 200,000 CAD for Level 4, and 185,000 CAD - 235,000 CAD for Level 5.Applications for this job will be accepted at least until August 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.