Solution Architect

NVIDIA; Dubai; On-site; USD 90,000 - 120,000; Full time

Job summary

NVIDIA is seeking a Solution Architect for its Telecommunications Industry team. This role focuses on AI and telecom operations, requiring strong technical leadership and domain expertise. Responsibilities include integrating AI technologies and supporting customer deployments. Ideal candidates will have advanced degrees and significant industry experience.

Qualifications

• 5+ years of industry experience in telecommunications or systems engineering.
• Experience in lifecycle management and AI workload orchestration.
• Ability to handle full-stack solutions and designs.

Responsibilities

• Document and demonstrate advancements in AI applications.
• Implement AI vision integration into telecommunication applications.
• Lead technical aspects of complex deployments.

Skills

AI/ML/DL

Problem Solving

Communication

Time Management

Organizational Skills

Analytical Skills

Education

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

Tools

Docker/Containers

Kubernetes

Job description

Any Graduation(), Ph.D/Doctorate(Computer Science)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

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 top engineers, architects, developers, and scientists who enjoy working with the latest technologies in data analytics and AI/ML/DL. NVIDIA platforms are widely used across academic research centers, telecommunication providers, industry software vendors, and start-ups. We seek a passionate, dedicated, and creative individual to become a trusted technical advisor, believing that accelerated computing, deep learning, advanced data science, and AI represent a new computing revolution capable of transforming the telecommunication domain.

What You Will Be Doing

• Document and demonstrate advancements in accelerated computing and AI applications through trainings, sharing sessions, whitepapers, blogs, and wiki articles.
• Implement our AI vision by integrating NVIDIA technology into telecommunication applications for management, operation, cloud, and edge computing (NFV).
• Understand customer goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts, and customer adoption.
• Lead technical aspects of complex deployments, including design-in opportunities and responses to RFP/RFI proposals for AI software integration, edge, cloud, or data center deployments.

What We Need To See

• MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related engineering fields (or equivalent experience).
• 5+ years of industry experience in telecommunications, networking hardware/software, 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 system views and low-level details, understanding, promoting, and troubleshooting full-stack solutions and designs.
• Technical leadership skills in project management.
• Excellent communication skills, both written and oral, for effective customer interaction.
• Strong time-management, organizational, analytical, and problem-solving skills.

Ways To Stand Out From The Crowd

• Knowledge of generative AI architecture and frameworks.
• Experience with cloud-native application deployment, including Docker/Containers, Kubernetes, and orchestration.
• Experience with NVIDIA AI platforms and tools.

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