The Role
The role involves designing AI-based networking solutions, analyzing large datasets, developing models, and collaborating with teams to optimize performance and monitoring systems.
Summary Generated by Built In
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. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful NVIDIA solutions
What You'll Be Doing:
- We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
- Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
- Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
- Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
- Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
- Lead the technical implementation and integration of data science models into production environments.
What We Need To See:
- B.Sc. or equivalent experience in Computer Science and Engineering.
- 5+ years of hands-on experience in data science - must.
- 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 – Significant advantage.
- Proven experience in production-level software development, with a portfolio of deploying complex models and systems.
- Ability to lead technical projects, balance multiple priorities, and meet tight deadlines.
- Familiarity with network protocols, hardware, and infrastructure - Significant advantage
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!
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. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
Numpy
Pandas
Python
PyTorch
TensorFlow
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The Company
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
