Global Production Platform Engineer

Summary:

Meta is seeking a forward thinking, experienced IT professional with technical leadership experience and skills in Server Hardware, high performance Compute, Storage, Accelerators (GPU), and/or Networking, ideally in a data center environment. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and on which our innovative services are delivered. Meta is at the leading edge of the global data center industry, both in design and operations.Our Production Platform Engineers are responsible for the performance of the compute, storage, and accelerator (GPU) platforms in our data centers. They are responsible for the health of the server fleet, from NPI production operational test through end-of-life. Responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with engineering, tooling, and onsite provisioning and break-fix teams to improve performance of the fleet.This position requires a high degree of ownership and understanding of our platforms, leveraging technical expertise and using data to identify trends across the fleet and proactively identify and mitigate performance and reliability issues. Experience organizing and prioritizing work across multiple teams and workstreams in a large-scale, distributed environment and experience partnering with engineering, operations, and cross-functional teams to resolve issues and drive improvements in a large-scale, distributed environment is required to be effective in this role.

Required Skills:

Global Production Platform Engineer Responsibilities:

1. Serve as subject matter expert for compute, storage, and accelerator (GPU) platforms in Meta's production data centers, anticipating and diagnosing issues for the data center operations teams, and escalating as appropriate to hardware design and NPI (New Product Introduction) teams

2. Provide end-to-end lifecycle ownership (operational test through end of life decommissioning) of hardware platforms and new technologies in the data centers

3. Drive complex technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling

4. Analyze health of the global fleet of servers to proactively identify systemic issues, and take appropriate action to quickly mitigate impact

5. Work closely with HW Engineering, Release-to-Production, and Systems Integration teams to take new server and storage platforms into mass production in the data centers

6. Identify risks early in new hardware programs and contribute the test methods needed to characterize the product and assure end-customer needs are met

7. Act as product leader for specific server and/or storage platforms in mass production

8. Perform and drive RCA and CA, in collaboration with hardware and software engineering teams

9. Issue timely alerts and fixes to operations teams, and assure a robust feedback pipeline to engineering teams

10. Build strong relationships and collaboration with engineering and cross functional teams across the company. Actively solicit feedback from teams, and use that feedback to improve operational effectiveness as infrastructure scales

11. Provide serviceability feedback on production hardware resulting in more efficient repair activities

12. Ability to travel up to 30% required

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. BS or BA in electrical, mechanical, computer, or equivalent hardware engineering related experience

3. 7+ years of experience with server hardware systems in an internet operations environment, or on a development team in design or test validation

4. Experience triaging and debugging hardware platforms

5. Familiarity or experience in NPI server platform development

6. Familiarity with Linux or Unix Operating systems

7. Experience training and mentoring technicians and/or engineers

8. Demonstrated technical skills and experience creating documentation for users of all levels

9. Communication experience and interpersonal skills, with the experience communicating and partnering effectively within all levels of the organization

10. Experience with building relationships with customers and vendors

11. Experience leveraging large volumes of data to improve decision making processes in the hardware functional domain (understanding the metrics and statistics)

Preferred Qualifications:

Preferred Qualifications:

1. Experience in integration testing and operation of compute, storage, or accelerator (GPU) platforms, bringing operational perspective to each stage of H/W development life cycle through end of life in production

2. Bash, PHP, Python, or Perl scripting experience

3. BS or BA in electrical, mechanical, or computer engineering

4. 7+ years experience working in the NPI development lifecycle designing, troubleshooting, and testing IT hardware systems

5. Experience in data center system and process automation

6. Experience in large scale data center hardware deployments and building scaling infrastructure

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 [email protected].