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 our 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 our hardware and roadmap.
Collaborate with data-engineers to enable high resolution tools at scale.
What we need to see:
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.
Ways to stand out from the crowd:
Experience diagnosing or debugging modern AI hardware.
High energy and a positive, proactive and curious approach.
