Senior Architect, Networking Data Scientist

NVIDIA

NVIDIA

IT, Data Science
Tel Aviv-Yafo, Israel
Posted on Monday, January 22, 2024

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 analyze 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 performance.

  • 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.

What We Need To See:

  • 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).

  • Solid background in networking – a significant advantage.

  • Prior experience in software solutions development, with a proven ability to understand and explain complex technology.

  • Ability to balance and prioritize multiple projects and stakeholders under tight deadlines.

  • Experience with big data technologies and distributed computing platforms.

  • Familiarity with network protocols, hardware, and infrastructure.

Ways to stand out from the crowd:

  • 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!

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.