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Senior Solutions Architect, AI Hyperscalers

NVIDIA· Architect, Solutions
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Santa Clara, CA, Remote$184k - $287.5k + equityFull-timePosted 5mo ago

About the role

AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers to lead software customer technical engagement for AI training, inference and infrastructure deployed at large scale, coordinating across NVIDIA and customer teams to enable scalable AI infrastructure and optimized models.

Responsibilities

  • As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.
  • Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.
  • Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy. Translate these insights into product requirements and innovative solutions.
  • Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements.
  • Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks.
  • Lead workshops, demos, and proof-of-concepts to showcase NVIDIA’s AI/ML capabilities.
  • Guide customers on standard processes for scalable AI model deployment and inference optimization.

Qualifications

  • Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
  • Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
  • Strong understanding of data science and machine learning infrastructure—software and hardware.
  • Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations.
  • Excellent follow-up and interpersonal skills, with a true passion for problem-solving.
  • Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.
  • Shown eagerness to learn and apply new technologies.

Skills

Required:BS/MS in Computer Science, Electrical Engineering, or equivalentPythonLinuxAI/ML infrastructureCommunication

Benefits

  • Equity
  • Benefits (see NVIDIA benefits)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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