Solutions Architect, Hyperscale

at Nvidia
USD 148,000-287,500 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Technical Proficiency @ 6 Communication @ 3 Networking @ 3 Debugging @ 3 System Architecture @ 3 GPU @ 3

Details

We are seeking driven, high-energy engineers to join the Solutions Architecture team in building Artificial Intelligence (AI) solutions with the world’s largest customers. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement and optimize AI/ML and HPC software and system solutions at hyperscale.

Responsibilities

  • Develop and demonstrate AI software and hardware solutions with hyperscalers.
  • Build customers’ trust and understand their unique needs.
  • Act as the go-to technical resource for customers building complex infrastructure and explain performance characteristics for optimal solutions.
  • Partner with Sales, Developer Relations, and Product teams to identify and secure business opportunities for NVIDIA products and solutions.
  • Conduct technical meetings for project/product details, feature discussions, and debugging sessions.
  • Develop Proof of Concept (PoC) solutions for critical business needs.
  • Prepare and deliver technical presentations and workshops to customers.
  • Address and optimize customer AI systems performance issues.

Requirements

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent engineering fields (or equivalent experience).
  • 5+ years of Solutions Engineering or similar experience in AI-related fields.
  • Proficiency in AI, ML, and HPC applications.
  • Comprehensive knowledge of computer system architecture, including PCIe, networking, and their impact on AI application performance.
  • Experience designing, running, and troubleshooting performance benchmarks for AI systems, including GPU and multi-node systems.
  • Ability to work independently and manage multiple priorities.
  • Excellent communication skills to act as a trusted advisor to customers.

Ways to stand out

  • Strong combination of interpersonal skills and technical proficiency.
  • In-depth knowledge and hands-on experience with ML/DL/AI including performance testing.
  • Background with NVIDIA hardware and software and practical experience with GPU systems.
  • Experience working with or calling on Cloud Service Providers (example given: Meta).
  • Highlighted external customer-facing skills and experience.

Logistics & Compensation

  • Occasional travel is required for local on-site visits to customers and industry events; conferencing tools are used extensively.
  • Base salary ranges provided by level:
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until July 29, 2025.

Company & Diversity

  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment and does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other characteristics protected by law.