Join NVIDIA's GeForce NOW cloud team, where you will lead the development of AI-augmented analytics solutions that enhance user experience in gaming. The team focuses on real-time diagnostics, predictive modeling, and customer analytics to optimize cloud gaming performance. You will leverage advanced data science techniques to drive actionable insights and improve server efficiency. This role requires a blend of technical leadership and domain expertise in AI and machine learning.

• 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.
• 8+ years of proven experience in Statistics/AI/ML.
• Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, Pytorch, TensorFlow.
• Experience with common tools for data storage and processing such as Spark, Pandas, Delta Lake.
• Excellent verbal and written communication skills to convey rich data insights to both technical and non-technical stakeholders.
• An outstanding track record of successful past projects related to the research and application of data science at scale.

• Provide technical leadership to a team of Data Scientists and Engineers for global deployment of GPU Compute services.
• Work with leadership and stakeholders to understand requirements and build a tech roadmap.
• Lead the design, implementation, and deployment of AI/ML based solutions for actionable insights.
• Build and deploy real-time and scalable solutions for user diagnostics and actionable insight generation.
• Improve organizational productivity by analyzing large datasets using statistical and AI/ML models.
• Leverage forecasting models and optimization solvers to enhance capacity management and server efficiency.
• Design innovative multi-agent self-learning systems to improve engineering productivity.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.