Senior Data Platform Software Engineer

We are seeking a highly skilled Data Platform SW Engineer to join the Applied Networking AI group. In this role you will help develop advanced data acquisition solutions for the fields of predictive-maintenance, root-cause analysis and AIOPS. You'll collaborate closely with subject-matter-experts (SMEs), applied-researchers, architects, data-engineers and other stakeholders to push the envelope forward in using cutting-edge technologies and data-driven insights to improve NVIDIA's products.

As a key contributor you will develop and own metric-extraction, measurement and telemetry tools that enable a high resolution viewpoint into the hardware. You will experiment and iterate fast and in collaboration with applied-researchers to improve our ML diagnostic and prediction toolkit.

What You'll Be Doing

• Lead the development of advanced metric and measurement tools for real-time data collection and processing, to enable a high resolution viewpoint into the full set of HW components that compose NVIDIA's AI factory solutions (GPUs, networking interfaces, etc).
• Work alongside applied-researchers to experiment and iterate on the bridge between metrics and ML.
• Partner with architects and product managers to gain a deep understanding of NVIDIA’s hardware and roadmap.
• Collaborate with data-engineers to enable high resolution tools at scale.
  
  

• BSc in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
• 5+ years of hands-on experience demonstrating deep system knowledge and metric extraction development.
• Strong understanding of networking, hardware/software systems, performance behavior, or failure analysis.
• Solid understanding of AI/ML modeling and statistics.
• Excellent ability to convey and communicate data-based insights to stakeholders and management.
  
  

• Experience diagnosing or debugging modern AI hardware.
• High energy and a positive, proactive and curious approach.