Production Systems Engineer, Hardware Analytics

Meta is seeking a Production Systems Engineer to join our Hardware Design and Release to Production - Sustaining (HDRTP) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The HDRTP team is responsible for the end-to-end Hardware Lifecycle of all Meta servers, from exploration and development to production health. HDRTP Engineers work closely with Production Engineering teams, Networking, Hardware Designers, Networking Teams, Manufacturers, Vendors, Datacenter Operation, Capacity, Core Systems and New Product Introduction teams to ensure the smooth operation of systems globally.

Production Systems Engineer, Hardware Analytics Responsibilities:

• Drive innovation in hardware efficiency by applying expertise in hardware reliability and performance, and translating insights into actionable strategies for hardware reliability and data center optimization
• Contribute to industry leading research in hardware characterization and fleet/DC efficiency studies across AI platforms, leveraging data-driven and machine learning analytical techniques
• Conduct in-depth hardware parameter based research and comparative analyses using advanced data analytics and machine learning techniques for failure analysis and diagnosis in production
• Interface with internal hardware, software engineers and operations teams to understand system architectures and failure modes
• Proactively create experiments, data analysis and data visualizations to detect and diagnose hardware health issues, focusing on systemic solutions
• Collaborate on evolving AI platforms, silicon products, thermal and cooling solutions to support the growth of large language models, with a focus on optimizing performance, scalability, and efficiency
• Develop data frameworks and discover insights to answer relationship between hardware, data center parameters and server failures
• Develop and implement data-driven strategies using hardware characterization studies to support hardware fleet optimizations and efficiency while supporting improvements to future platform designs
• Build comprehensive monitoring and predictive frameworks and to make data insights available to partner teams for decision making
• Collaborate with cross-functional teams to ingest and present data on evolving domains and specialized hardware technologies, components, datacenters
• Share insights with stakeholders and software teams to develop architectures to handle server failures based on hardware health data
• Troubleshoot, diagnose and root cause of system failures and isolate the components or failure scenarios with in depth statistical studies while working with stakeholders internally and externally

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of hands-on software/firmware/hardware engineering to build systems/products for the IT industry
• Troubleshooting and data tooling, including data analysis, building analytical models, and visualizations
• Knowledge of server architecture and components across Compute/Storage/AI Systems/Networking

Preferred Qualifications:

• Experienced in the integration of lab tools for automated workflows
• Experience with Linux systems and server systems management
• Master’s degree or PhD in Computer Engineering, Electrical Engineering, or related field
• Proficient in SQL, Python or C/C++ (data structures, algorithms, and OOP)
• Experience with some of the following modules/domains: PCIe, Networking, Flash, Memory, CPU, GPU, DRAM (DDR4/5 or HBM)

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 [email protected].

$173,000/year to $245,000/year + bonus + equity + benefits

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.