This role has closed 3w ago. It is no longer on NVIDIA's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

Verified by our engine · Posted 2mo ago

NVIDIA

Senior Solution Architect - Telco AI & RAN

NVIDIA · Architect, Solutions

Helsinki

Senior

Solutions & Field

Last seen 3w ago

Posted
2mo ago

Posted on 22 July 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see NVIDIA's open roles or the similar live roles below.

See NVIDIA's open roles

We are looking for a Solution Architect for the Telecommunications Industry team with domain specific knowledge and experience in AI and telecom operation. At NVIDIA, our Solution Architects are drawn from best-in-class engineers, architect, developers, and scientists who enjoy working with the latest technologies in data analytics and AI/ML/DL. NVIDIA platforms are broadly used across leading academic research centers, telecommunication and cable providers, industry software vendors and ecosystem start-ups. We need a passionate, hard-working, and creative individual to become a trusted technical who believes that accelerated computing, deep learning, advanced data science, and artificial intelligence is a new computing revolution and has the potential to transform the entire telecommunication domain.

What you will be doing:

Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.

Realize our vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV).

Develop a keen understanding of customer’s goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts and customer adoption.

Lead technical project aspects of complex deployments, including design-in opportunities and responding to RFP/RFI proposals for AI software integration, or edge / cloud / datacenter deployments.

What we need to see:

MS or PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields

5+ years of relevant experience in telecommunication industry, networking hardware, networking software system development, or systems engineering or equivalent experience.

Relevant experience in AI/ML/DL or 5G/6G network architecture in telecom.

Good understanding of telco, cloud, or enterprise IT/OT (management and workload orchestration on cloud-native platforms), and experience in cloud-native application deployment.

Strong analytical and problem-solving skills with an ability to switch between high-level systems view and low-level design.

Ability to take a technical leadership in a project.

Good interpersonal skills (written and oral) and intellectual honesty.

Ways to stand out from the crowd:

Expertise in network digital twins or telco network simulations.

Experience with building simulations or digital twins.

Experience with NVIDIA AI platform and tools.

Strong time-management and organization skills.

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. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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.

About NVIDIA

NVIDIA's European sites — Munich, Zurich, Kyiv, Amsterdam — cover deep learning, driver and systems software rather than sales engineering. One of the few places in Europe doing serious GPU and inference infrastructure work.