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Location
In office (Helsinki)
Seniority
Architect · 5+ years exp
Employment
Full-Time
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NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

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.

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