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Principal Data Scientist - Cloud Gaming and AI

NVIDIA· Data Scientist
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Santa Clara, CA, Hybrid (US, Remote)$248k - $379.5kfull-timePosted 4mo ago

About the role

Lead and design AI/ML solutions for real-time diagnostics, prescriptive analytics, and AI-augmented analytics for NVIDIA GeForce NOW at scale, focusing on forecasting, capacity optimization, and LLM-driven insights and automation.

Responsibilities

  • Provide Technical Leadership to a team of Data Scientists and Engineers deploying GPU Compute services at scale.
  • Work with Leadership and Stakeholders to understand requirements, build a tech roadmap, design solutions and guide the team to deliver results.
  • Acquire domain knowledge to lead design, implementation, and deployment of AI/ML solutions for real-time prescriptive analytics pipelines.
  • Build and Deploy real-time and scalable solutions for User Diagnostics, LLM Chatbot, dynamic Suspicious Activity Detection, user feedback based clustering and alerting, and LLM-based Actionable Insight Generation for Engineering and Management.
  • Improve productivity by wrangling petabytes of data using statistical/AI/ML/LLM models to provide real-time insights.
  • Leverage Forecasting models and Constraint Optimization solvers to improve capacity management and reduce end-user latency.
  • Use ML/AI predictive models with explainability for User Retention/Churn and designing outreach campaigns.
  • Build multi-agent self-learning Harnesses to improve engineering productivity for analytics and deployments.

Qualifications

  • Master’s/PhD or equivalent experience in Data Science, Statistics, Mathematics, Physics, Operations Research or related quantitative field
  • 15+ years of software experience for large-scale and reliable production deployments and 8+ years in Statistics/AI/ML
  • Hands-on programming in Python, SQL, Java and experience with modeling frameworks like Scikit-learn, PyTorch, TensorFlow
  • Experience with data storage/processing tools (Spark, Pandas, Delta Lake) and large-scale software in a big network
  • Excellent verbal and written communication skills for conveying data insights to technical and non-technical stakeholders
  • Strong track record of leading data science projects at scale
  • Experience in User Retention Modeling, LLMs, Time Series Forecasting or Operations Research is a plus

Skills

Required:PythonSQLJavaScikit-learnPyTorch

Benefits

  • equity
  • benefits (as listed in NVIDIA benefits)
Last updated Jun 26, 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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