Senior Architect, Networking Data Scientist

This Data Science Architect role will focus on development Networking solutions based on AI for better monitoring of NVIDIA’s data centers. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.

Data Science Architect as a part of Networking Cyber AI group works closely with many different teams, solving problems with their engineering teams, and helping them build a successful NVIDIA practice!

What You'll Be Doing

• We expect you to analyse the datasets, raise and validate hypotheses, extract significant features, and build models on top of them.
• Optimize your algorithms and data structures to make them applicable to large datasets and cluster-based processing. Perfect the models and algorithms until they reach the desired power.
• Collaborate with cross-functional teams to develop a comprehensive strategy for integrating AI-driven power optimization into our networking systems.
• Procure prototypes and perform tests to demonstrate proof-of-concept and present results to leadership for approval and procurement.
• Understand the trade-offs in different solutions and develop the best architecture for improving throughput of analytics on large data streams.
• Leading and follow up integration into production products.
  
  

• B.Sc. or equivalent experience in Computer science and engineering
• 5+ years of experience - must
• Proficiency in data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch).
• Validated background in networking – Significant advantage
• Prior software, solutions development background and validated ability to demonstrate complex technology.
• Ability to balance multiple projects and constituents and prioritize under tight deadlines.
• Experience with big data technologies and distributed computing platforms.
• Familiarity with network protocols, hardware, and infrastructure.
  
  

• Exude high energy and a positive attitude.
• Stellar verbal and written communication skills.
• Passionate about data science and implementation.
• Have data science and GPU performance experience.
• Want to make what was impossible possible!