Solution Architect - Telco

Details

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, architects, 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 expert 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.

Responsibilities

• Document and demonstrate advancements in accelerated computing and AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.
• Realize our AI vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV).
• Develop a keen understanding of customers’ 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.

Requirements

• MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields (or equivalent experience).
• 5+ years of work-related industry experience in telecommunication industry, networking hardware, networking software system development, or systems engineering.
• Experience in lifecycle management and AI workload orchestration on cloud-native platforms.
• Significant experience in AI/ML/DL, big data analytics, and telco applications.
• 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

• 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.

About NVIDIA

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. We highly value diversity in our current and future employees and do not discriminate on the basis of any protected characteristics.