Solutions Architect - Accelerated Computing

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 3 Python @ 3 Machine Learning @ 3 Communication @ 6 Networking @ 3 Performance Optimization @ 3 Debugging @ 3 GPU @ 3

Details

We are looking for an Accelerated Computing Solutions Architect at NVIDIA with expertise in AI, Machine Learning, and HPC, including performance optimization, application development and networking technologies. The role leads technical engagements with customers to investigate performance optimization and improvements for large-scale AI and HPC application deployments, and to collaborate with companies developing new AI solutions by applying NVIDIA and cloud technologies.

Responsibilities

  • Work with NVIDIA Cloud Service Providers and NVIDIA Cloud Partners on accelerated computing and performance optimization problems.
  • Guide customers from cluster and application deployment to optimization for large-scale AI training, inference, and HPC.
  • Build custom product demonstrations and PoCs addressing critical customer business needs; analyze, debug and optimize customer workloads.
  • Conduct regular technical customer meetings for project/product details, feature discussions, and introductions to new technologies.
  • Prepare and deliver technical content to customers at workshops, conferences, and similar events.

Requirements

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering/Science field, or equivalent experience.
  • Motivation and skills to drive technical pre-sales activities.
  • 5+ years of Solutions Engineering, Solutions Architecture or similar Sales Engineering experience.
  • Practical knowledge of data center scale optimization, including data center topologies and networking software optimization.
  • Knowledge of software development, specifically Python and scripting.
  • Strong written and verbal communication skills for documentation, presentations, and customer meetings.

Ways to Stand Out

  • External customer-facing experience.
  • Hands-on experience developing AI applications using NVIDIA technologies (GPUs and/or software) and optimizing/debugging performance with NCCL, etc.
  • Cloud experience for developing workflows and applying cloud concepts (databases, etc.) to customer use cases.
  • Hands-on experience with GPU systems, AI workflow development, performance development, and AI benchmarking.
  • Effective time management and capability to balance multiple tasks and customers while creatively debugging and solving problems.

Compensation & Benefits

  • Base salary ranges by level:
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • Eligible for equity and benefits (see NVIDIA benefits information).

Additional Information

  • Applications for this job will be accepted at least until July 29, 2025.
  • NVIDIA is an equal opportunity employer and commits to fostering a diverse work environment.