Production Systems Engineer: Hardware Validation & Bringup

Meta

Menlo Park (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Meta in Menlo Park, CA, seeks a Production Systems Engineer to own end-to-end hardware validation and deployment for data center servers. You will work with HW/SW co-design teams, hardware designers, and vendors to enable new systems for production data centers.

The role emphasizes diagnostic tooling, robust test plans, and driving improvements in error handling, telemetry, and health signals across compute and storage platforms.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • Degree must be completed prior to joining Meta.
  • 3+ years of work experience in ASIC, compute, AI/ML hardware, storage, memory, or related domains.

Responsibilities

  • Support end-to-end system validation and deployment for Compute and Storage hardware platforms in data center environments.
  • Proactively create experiments and tooling to diagnose hardware, firmware, and software failures using telemetry and logs.
  • Design robust system-level test plans including functional, stress, and performance tests.
  • Drive vendors and internal teams to resolve hardware and firmware issues identified during production operations.
  • Develop Hardware Fault Management and improve error reporting/handling for better operation quality.

Skills

Python
C/C++
Linux
System-level debugging
Troubleshooting

Education

Bachelor's degree in CS/CE or related field

Tools

JTAG
GDB
Trace32
DSTREAM
CI/CD

Job description

Meta in Menlo Park, CA, seeks a Production Systems Engineer to own end-to-end hardware validation and deployment for data center servers. You will work with HW/SW co-design teams, hardware designers, and vendors to enable new systems for production data centers.

The role emphasizes diagnostic tooling, robust test plans, and driving improvements in error handling, telemetry, and health signals across compute and storage platforms.

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