Solution Architect - Telco AI
NVIDIA
The role
Job description
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 network management & 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.
Expertise in data analytics and developing AI solutions for telco networks, or for enterprise IT/OT.
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 work in a team and to take a technical leadership in a project.
Good interpersonal skills (written and oral) and intellectual honesty.
Ways to stand out from the crowd:
Relevant experience in 5G/6G network architecture and understanding of AI advantages for RAN.
Experience with NVIDIA AI platform and tools, and AI for RAN.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.Originally posted on Himalayas
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Listing details
- Listed location
- Germany
- Annual salary
- PLN 292,500 – PLN 650,000 / year
- Employment
- Full Time
- Published
- Jul 23, 2026
Listing trust
- Observed through
- Himalayas
- Listing last observed
- Jul 26, 2026
Work-from eligibility is based on normalized evidence in the listing: Germany.
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