Hardware Analytics Engineer Intern

Meta is seeking a Hardware Analytics Engineer Intern to join our Release to Production Engineering team. Come learn about our cutting edge power and hardware architecture, which has one of the most efficient infrastructures in the industry. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered.

Hardware Analytics Engineer Intern Responsibilities:

• 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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