Production Systems Engineer, NPI

Meta

• $135K — $160K *
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience.
  • 6+ years of experience in fields like ASIC development, AI-ML hardware/software, or server interconnect technologies.
  • Familiarity with architecture on server, PC, or laptop systems.
  • Proficient in troubleshooting hardware fault management, error reporting, and handling.
  • Experience coding with Python, C/C++ in a Linux environment, particularly for automation and CI/CD.
  • Skilled in communicating technical findings to cross-functional teams and stakeholders.
  • Experience working within a matrix organization.

Responsibilities

  • Lead the validation and deployment of advanced Compute and Storage hardware platforms in data centers.
  • Create experiments and tools to diagnose hardware, firmware, and software failures.
  • Design system-level test plans for functional, stress, and emerging security tests.
  • Coordinate with vendors and manufacturers to resolve production hardware and firmware issues.
  • Collaborate with teams to develop effective hardware fault management strategies.
  • Drive new hardware validation and tooling specifications for integration testing.
  • Analyze production failure data to identify trends and implement corrective actions. How to make work measurable.
  • Maintain dashboards for visualizing hardware health signals and tracking remediation efforts.

Benefits

  • Flexible work hours and remote work options.
  • Access to cutting-edge technologies and innovations.
  • Opportunities for professional growth and development.
  • Collaborative work environment with diverse teams.
  • Health and wellness programs, including fitness memberships.
Full Job Description
Meta is seeking a highly skilled and experienced Systems/Hardware engineer to join our Release to Production (RTP) team. The RTP team is responsible for the end-to-end hardware lifecycle of all Meta servers, including prototyping, preproduction hands-on system validation, hardware debugging, and stress testing. As a Systems/Production Systems Engineer, you will work closely with various teams, including HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers.

Responsibilities

Drive and lead end-to-end system validation, and deployment for cutting-edge Compute and Storage hardware platforms, including CPUs, Flash, Hard Disk Drives and Data Center Processing Units (DPUs) in data center environments
• Proactively create experiments and tooling to diagnose and root cause hardware, firmware, and software failures across compute, storage, and networking systems using telemetry, logs, and hands-on debugging
• Design and implement robust system-level test plans, including functional, stress, and performance tests. Test plans may also include emerging security domains such as Confidential Computing
• Drive component vendors and system manufacturers to resolve hardware and firmware issues identified during production operations
• Interface with external vendors and internal teams to understand the system architecture and develop hardware fault management for various server products
• Drive new platform enablement, hardware validation, tooling specifications, and integration, customer workload testing, and experiment creation to detect and diagnose hardware/firmware/software health issues
• Leverage understanding of RAS (reliability, availability, serviceability) to improve error reporting and error handling mechanisms for better operation quality and cost/effectiveness
• Analyze production failure data to identify systemic trends and drive corrective actions with internal teams and external vendors
• Create and maintain dashboards and data visualizations to surface hardware health signals and track remediation progress across the fleet
• Drive necessary discussions with external and internal teams on test specifications and methodologies to improve test quality continuously, both within Meta, and in the broader industry

Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 6+ years of work experience in one or more domains such as: ASIC development, compute (ARM, x86), AI-ML hardware/software, storage (HDD, TLC/QLC SSD, HBA), memory (HBM, DDR5, LPDDR5), network (NIC, DPU), server interconnect technologies, or similar
• Knowledge of architecture and components on one of the following products: server/PC/Laptop
• Development or debug experience in one or more areas: hardware fault management, error reporting, error handling on hardware products
• Experience with Python, C/C++ and/or similar languages, within a Linux environment, for server system management, automation, version control, CI/CD, or similar
• Experience troubleshooting complex technical issues across hardware, firmware, and software boundaries
• Experience communicating technical findings and recommendations to cross-functional teams, including hardware designers, vendors, and operations stakeholders
• Experience working in a matrix organization

Preferred Qualifications
• Experience in designing and/or validating HDD and/or SSD topologies and their various subsystems, and familiarity with the Linux block layer. Functional knowledge of storage RAS and security concepts
• Working/functional knowledge of common bus protocols such as I2C, SPI, USB, LPDDR, and/or PCIe
• Hands-on experience in managing/debugging Linux servers
• Hands-on experience troubleshooting problems at the system level, crossing across multiple components, as well as hardware, firmware, and software boundaries
• Understanding of the hardware development process and how it pertains to the test strategy. Experience authoring test plans for complex chipsets for functional, stress, and performance testing
• Experienced in the integration of lab tools for automated workflows with large-scale deployments
• Familiarity with debugging tools for systems-on-chip (SoCs) - e.g., JTAG, GDB, DSTREAM, Trace32
• 2+ years of experience scripting automation in Python or equivalent
• Proficiency in continuous integration/continuous delivery tools
• 7+ years of experience with a subset of one of the following domains: Compute Systems, Storage Systems, Accelerated Compute Systems/HPC, Kernel/Firmware Development and/or testing, Post Silicon Bringup

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