Solutions Architect, AI Hyperscalers

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 ?

Docker @ 3 Kubernetes @ 3 Linux @ 6 Python @ 5 Machine Learning @ 3 Data Science @ 3 Communication @ 3 Parallel Programming @ 5 PyTorch @ 2 CUDA @ 5 GPU @ 5

Details

NVIDIA is at the forefront of AI innovation, transforming computing with advanced graphics and accelerated computing technologies. This role focuses on AI/ML solutions architecture for Hyperscale customers and Cloud Service Providers, leading technical engagements in AI training, inference, and infrastructure at scale.

Responsibilities

  • Serve as the main technical contact for NVIDIA products for internet giants and cloud providers.
  • Collaborate with engineering teams to secure design wins, solve challenges, and support product lifecycles.
  • Act as a trusted advisor by understanding customer environments and strategies, translating these into product requirements.
  • Enhance customer value with NVIDIA technologies and provide feedback for product improvements.
  • Facilitate resolution of customer issues with proactive communication.
  • Lead workshops, demos, and proof-of-concepts showcasing NVIDIA’s AI/ML capabilities.
  • Guide scalable AI model deployment and inference optimization processes.

Requirements

  • BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
  • Over 5 years of engineering experience in AI/ML projects or enterprise solutions.
  • Strong Linux proficiency, especially for AI/ML workload optimization and customization.
  • Solid understanding of data science and machine learning infrastructure.
  • Excellent professional communication and interpersonal skills.
  • Proficient in Python; experience with parallel programming or GPU acceleration such as CUDA is beneficial.
  • Eagerness to learn and apply new technologies.

Preferred Qualifications

  • Experience with Chatbots, RAG pipelines, vector databases, distributed training/inference.
  • HPC background focused on AI/ML applications.
  • Knowledge of multi-node GPU clusters and large-scale performance tuning.
  • Experience with cloud or virtualized environments, containerization (Docker, Kubernetes).
  • Familiarity with deep learning frameworks like PyTorch or JAX.

Compensation and Benefits

  • Base salary range: 148,000 USD - 287,500 USD, determined by location, experience, and comparable roles.
  • Eligibility for equity and benefits.
  • NVIDIA values diversity and is an equal opportunity employer.