We are looking for a Solution Architect for the Telecommunications Industry team with domain specific knowledge and experience in data-center / cloud, 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:
Be an inspiring leader on integrating NVIDIA technology into telco IT/OT architectures from cloud data centers to the edge.
Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.
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/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields (or equivalent experience).
5+ years of work-related shown industry experience in networking and cybersecurity in telecommunication and AI engineering.
Experience in lifecycle management and AI workload orchestration on cloud-native platforms.
An ability to switch between high-level systems view and low-level detail view of complex systems and to understand, promote and troubleshoot full-stack solutions and designs.
Ability to take a technical leadership role in a project.
Excellent written and oral communication skills with the ability to communicate with customers effectively.
Strong time-management and organization skills.
Strong analytical and problem-solving skills.
Ways to stand out from the crowd:
Experience with NVIDIA technologies.
Knowledge of generative AI software architecture and frameworks.
Experience working with cloud-native application deployment practices including Docker/Containers, Kubernetes, and cloud-scale orchestration.
Experience with NVIDIA AI platform and tools.
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.
Top Skills
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.”
