Solutions Architect

We are looking for a Solutions Architect AI Factory with experience in designing, building, and maintaining large-scale AI factories to join our team at NVIDIA. In this role, you ll connect real-world customer workloads to NVIDIA s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you re excited about applied technology and enabling others to succeed with advanced platforms, we d love to hear from you. What you'll be doing: Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments. Design end-to-end AI Factory solutions spanning compute, networking, storage, cluster management, workload orchestration. Guide customers through adoption of NVIDIA's full-stack platform. Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews, that prove technical and business value and accelerate customer adoption. Partner closely with sales account managers to shape technical strategy, qualify opportunities, develop solution proposals, and secure customer wins. Lead technical design reviews, bills of materials, deployment plans, readiness assessments, and handoffs to implementation and operations teams. Build and grow trusted technical relationships with engineers, architects, IT leaders, and executives at strategic customer accounts. Ways to stand out from the crowd: Strong experience working with enterprise customers across North Africa. Native or fluent in Arabic and French, plus the ability to travel across North Africa as required (20% of the working time). Practical background with the NVIDIA AI Factory stack. Experience with MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems.

Desired Candidate Profile

BS, MS or PhD in Computer Science, Engineering or a related field (or equivalent experience). 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer, Technical Consultant, or similar. Established track record designing, deploying, or operating AI and HPC infrastructure at enterprise scale. Deep technical expertise in several of the following: datacenter infrastructure, distributed systems, high-performance networking, storage, cluster management, AI/HPC workload orchestration, and GPU-accelerated computing. Experience leading technical discovery, architecture workshops, proof-of-concepts, performance validation, and executive-level technical presentations. Effective collaboration across teams, combined with excellent written and verbal communication.