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Hardware Analytics Engineer Intern

AT Meta
Meta

Hardware Analytics Engineer Intern

Menlo Park, CA

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:

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  • 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
About 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.

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.

$6,800/month to $error/year + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

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.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1KDp00000E2L75MAF
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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