Production Systems Engineer
Menlo Park, CA | Seattle, WA | New York, NY
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Meta
Giving people the power to build community and bring the world closer together
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 Responsibilities
$132,000/year to $191,000/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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
- Drive innovation in hardware efficiency by applying expertise in hardware utilization and performance, and translating insights into actionable strategies for hardware, power, performance 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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ 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
- Master’s degree or PhD in Computer Engineering, Electrical Engineering, or related field
- Experienced in the integration of lab tools for automated workflows
- Proficient in SQL, Python or C/C++ (data structures, algorithms, and OOP)
- Experience with Linux systems and server systems management
- Experience with some of the following modules/domains: PCIe, Networking, Flash, Memory, CPU, GPU, DRAM (DDR4/5 or HBM)
$132,000/year to $191,000/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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Categories:
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Tags: Architecture Computer Science Data analysis Data Analytics Engineering GPU Linux LLMs Machine Learning OOP PhD Physics Python Research SQL Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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