- Interface with internal hardware and software engineers and operations teams to understand system architectures and failure modes
- Proactively create experiments and data visualizations to detect and diagnose hardware health issues, focusing on systemic solutions
- Develop data pipelines and discover insights to answer relationship between hardware and data center parameters to server failures
- Troubleshoot, diagnose, and root cause of system failures and isolate the components /failure scenarios while working with stakeholders internally and externally
- Share insights with stakeholders and software teams to develop architectures to handle server failures based on hardware health data
- Currently has, or is in the process of obtaining, a Bachelor’s degree in Engineering, Statistics, Mathematics, or related field
- Analytical experience using statistics or machine learning, in academia or industry
- Data processing and visualization experience (SQL, Python, or R)
- Programming experience (Python or C++)
- Strong communication skills for working with and learning from hardware and software engineers and operations teams
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Currently has, or is in the process of obtaining, a Master’s or PhD degree in Engineering, Statistics, Mathematics, or related field
- Experience or coursework related to computer and systems architecture, statistics, machine learning, networking, or related field
- Knowledge of Linux
- Intent to return to degree-program after the completion of the internship/co-op
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