As a Senior Machine Learning Engineer at NVIDIA, you will develop innovative machine learning algorithms and models to enhance the efficiency of NVIDIA's DGX Cloud. This role focuses on transforming telemetry signals into predictive insights that enable customers to innovate. You will work on building production models for various applications, including anomaly detection and predictive maintenance. Collaboration with cross-functional teams will be essential to integrate machine learning capabilities into NVIDIA products.

• Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field or equivalent experience.
• 8+ years of experience applying Machine Learning to operational systems.
• Proven track record of building and deploying Machine Learning models in production environments.
• Experience with time series analysis and optimization algorithms.
• Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes.
• Strong software engineering skills and proficiency in Python.
• Effective verbal and written communication, and technical presentation skills.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

• Develop innovative machine learning algorithms and models that propel AI products.
• Build production models for anomaly detection, predictive maintenance, and usage optimization.
• Develop tools to surface real-time telemetry, efficiency metrics, and long-term trends.
• Create forecasting and simulation models for global scale planning.
• Analyze complex datasets to determine the best approach for model training and optimization.
• Translate findings into clear engineering actions with infrastructure, operations, and product teams.
• Participate in cross-functional projects to integrate machine learning capabilities into various NVIDIA products.

• 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.