Production Systems Engineer, NPI Compute

Meta; Austin (TX); Presencial; USD 144.000 - 204.000; Jornada completa

Descripción de la vacante

Meta is seeking a seasoned Systems/Hardware Engineer for the Release to Production (RTP) team. You will own end‑to‑end validation, debugging, and stress testing of server compute/storage platforms across data centers, coordinating with HW/SW teams, vendors, and operations.

You will drive platform enablement, create robust test plans, and lead efforts to detect, diagnose, and remediate hardware/firmware health issues while delivering reliable, scalable systems.

Formación

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent.
• 6+ years of work experience in domains such as ASIC development, compute, AI‑ML hardware/software, storage, memory, or networking.
• Experience with server/PC/Laptop architecture.
• Development or debug experience in hardware fault management and error handling.
• Proficiency with Python and C/C++ in a Linux environment for server management, automation, and CI/CD.
• Strong problem‑solving and cross‑functional communication skills.
• Experience working in a matrix organization.

Responsabilidades

• Drive end‑to‑end system validation and deployment for Compute/Storage hardware in data center environments.
• Create experiments and tooling to diagnose hardware, firmware, and software failures using telemetry and logs.
• Design and implement robust system‑level test plans including functional, stress, and performance tests.
• Engage vendors and manufacturers to resolve hardware/firmware issues observed in production operations.
• Interface with internal teams to understand architectures and develop hardware fault management for server products.
• Drive platform enablement, hardware validation, tooling specs, integration, and customer workload testing.
• Leverage RAS knowledge to improve error reporting/handling for better operation cost/effectiveness.
• Analyze production failure data to identify trends and drive corrective actions.
• Create dashboards to surface hardware health signals and remediation progress.
• Lead discussions on test specifications and methodologies to improve test quality.

Conocimientos

Python

C/C++

Linux

Problem solving

Cross-functional communication

Matrix organization experience

Educación

Bachelor's degree in Computer Science, Computer Engineering, or related field

Herramientas

JTAG

GDB

DSTREAM

Trace32

CI/CD tooling

Descripción del empleo

Summary

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, pre-production 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.

Required Skills

Production Systems Engineer, NPI Compute Responsibilities:

1. 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 centre environments
2. 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
3. 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
4. Drive component vendors and system manufacturers to resolve hardware and firmware issues identified during production operations
5. Interface with external vendors and internal teams to understand the system architecture and develop hardware fault management for various server products
6. 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
7. Leverage understanding of RAS (reliability, availability, serviceability) to improve error reporting and error handling mechanisms for better operation quality and cost/effectiveness
8. Analyze production failure data to identify systemic trends and drive corrective actions with internal teams and external vendors
9. Create and maintain dashboards and data visualisations to surface hardware health signals and track remediation progress across the fleet
10. 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

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
3. 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
4. Knowledge of architecture and components on one of the following products: server/PC/Laptop
5. Development or debug experience in one or more areas: hardware fault management, error reporting, error handling on hardware products
6. Experience with Python, C/C++ and/or similar languages, within a Linux environment, for server system management, automation, version control, CI/CD, or similar
7. Excellent problem‑solving skills, with the ability to troubleshoot complex technical issues
8. Experience communicating technical findings and recommendations to cross‑functional teams, including hardware designers, vendors, and operations stakeholders
9. Experience working in a matrix organization

Preferred Qualifications

Preferred Qualifications:

1. 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
2. Experience with x86 or ARM‑based CPUs and their subsystems (e.g., memory, inter‑chiplet communications, RAS/DFT, power management, security)
3. Working/functional knowledge of common bus protocols such as I2C, SPI, USB, LPDDR, and/or PCIe
4. Hands‑on experience troubleshooting problems at the system level, crossing across multiple components, as well as hardware, firmware, and software boundaries
5. Familiarity with debugging tools for systems‑on‑chip (SoCs) - e.g., JTAG, GDB, DSTREAM, Trace32
6. 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
7. 2+ years of experience scripting automation in Python or equivalent
8. Experienced in the integration of lab tools for automated workflows with large-scale deployments
9. Hands‑on experience in managing/debugging Linux servers
10. Proficiency in continuous integration/continuous delivery tools

Public Compensation

$144,000/year to $204,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

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 [e-mail].