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

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
US$6,800/month to $error/year + benefits
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.