6 hours ago
Yerevan, ArmeniaSenior
Responsibilities
- Lead technical discovery with customer architects, engineers, and executives to assess 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, and workload orchestration.
- Guide customers through adoption and scaling of NVIDIA’s full-stack platform.
- Run proof-of-concepts, workshops, technical enablement sessions, demonstrations, and architecture reviews.
- Partner with sales account managers on technical strategy, opportunity qualification, solution proposals, and customer wins.
- Lead technical design reviews, bills of materials, deployment plans, readiness assessments, and handoffs to implementation and operations teams.
- Build trusted relationships with customer engineers, architects, IT leaders, and executives.
Requirements
- Bachelor’s, master’s, or PhD in computer science, engineering, or a related field, or equivalent experience.
- 5+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer, or Technical Consultant.
- Established experience designing, deploying, or operating enterprise-scale AI and HPC infrastructure.
- Deep expertise in several areas including 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.
- Strong collaboration, written communication, and verbal communication skills.
- Strong enterprise customer experience across Armenia and Central Asia is preferred.
- Native or fluent Armenian and Russian with professional English is preferred.
- Hands-on experience with the NVIDIA AI Factory stack is preferred.
- Experience with MEP systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems, is preferred.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.