NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Were looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?Our team is building the Data Platform that encompasses collection, processing, visualization, analysis, anomaly detection, root cause, predictive modelling and constrained optimization for real-time routing and scheduling at scale. Our data sources include traditional personal computers, servers, mobile devices and distributed Web services. Our active projects include analysis for cloud gaming experience, user behavior profiling, user base segmentation, actionable cluster detection, effective personalized recommendations, lifetime value analysis, capacity management, scheduling and subscription churn analysis, time-series forecasting, decision making models, resource allocation and latency minimization. You will wield the power of Data and AI to help deliver a best-in-class cloud streaming performance and experience to our users across the world. Our technology stack relies on industry standard components.(Kubeflow, Apache Spark, Databricks, MLflow, Delta Lake, Grafana, Elastic Search, Python, SQL, Google OR-Tools)What youll be doing:<ul><li>Build and deploy scalable ML/AI models to optimize the demand forecasting, capacity allocation and user specific feature-engineering for the real time cloud gaming service.</li><li>Build improvements to real-time prescriptive scheduling pipelines to maximize capacity utilization and user retention.</li><li>Acquire and apply domain knowledge of the product and software stack to identify and drive the resolution of data inconsistencies and improve model performance.</li><li>Develop re-useable framework deployments for data ingestion, processing and analysis.</li><li>Identify, analyze, and interpret trends or patterns in complex data sets using supervised and unsupervised learning techniques.</li><li>Improve productivity of the org by wrangling petabytes of data to provide actionable insights to business and engineering.</li><li>Work with a variety of stakeholders to understand requirements, design solutions, and guide the team to deliver results.</li><li>Leverage agentic AI to deliver best-in-class programming solutions.</li></ul>What we need to see:<ul><li>BS/MS or equivalent experience with 5+ years of experience or PhD in Data Science, Computer Science, Operations Research, Statistics, or related quantitative fields.</li><li>Strong background knowledge and practical experience in probability, statistics, and AI/ML.</li><li>An outstanding track record of past projects related to the research and application of data science.</li><li>Strong coding skills, including the ability to write readable, testable, maintainable, and extensible code (primarily Python)</li><li>Experience with common tools for data storage and processing, including drilling into problems of running large-scale software in a big network.</li><li>Strong experience in data cleaning, aggregation, transformation, and extraction.</li><li>Good interpersonal and presentation skills in working with multiple partners.</li><li>Experience with time series analysis is a plus.</li><li>Experience in active ML production pipelines is a plus (MLflow, KubeFlow).</li></ul>With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industrys most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation. If youre a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until August 23, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning