Senior Data Science Engineer

About Nvidia

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and forward-thinking people in the world working for us.

Job Summary

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of NVIDIA’s data centers and the optimization of NVIDIA networking products.

Key Responsibilities

• Conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models.
• Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing.
• Own the optimization and refinement of models to meet production-level performance and accuracy.
• Collaborate with cross-functional teams to define and execute the technical strategy for integrating AI-driven monitoring and optimization.
• Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders.
• Analyze technical trade-offs in different solutions and design robust systems for improving throughput of analytics on large data streams.
• Lead the technical implementation and integration of data science models into production environments.

Requirements

• B.Sc. or equivalent experience in Computer Science and Engineering.
• 5+ years of hands-on experience in data science.
• Expert-level proficiency in Python and its data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch).
• Strong background in networking concepts and protocols.
• Proven experience in production-level software development.
• Ability to lead technical projects, balance multiple priorities, and meet tight deadlines.
• Familiarity with network protocols, hardware, and infrastructure.

Preferred Qualifications

• 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.