Senior Cloud Platform & Hardware Engineer

Meta; Prineville (OR); On-site; USD 173,000 - 245,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks an experienced hardware engineering professional with leadership in server hardware, high-performance compute, storage, GPUs, and networking for data centers. You will own platform reliability across in-house and cloud-provider environments, troubleshoot at scale, and drive cross-functional improvements in a rapidly growing infrastructure.

Responsibilities include identifying systemic issues, mentoring teams, and collaborating with HW, software, and power/cooling groups to optimize

Qualifications

• Experience training and mentoring technicians and/or engineers.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• BS or BA in electrical, mechanical, or computer engineering, or equivalent hardware-engineering-related experience.
• 10+ years of experience with server hardware systems in an internet operations environment, or on a development team in design or test validation.

Responsibilities

• Serve as subject matter expert for compute, storage, and accelerator (GPU) platforms in Meta's production data centers and on capacity Meta consumes from cloud providers, anticipating and diagnosing issues for the operations teams, and escalating as appropriate to hardware design and NPI teams.
• Act as the deep escalation point for cloud hardware issues, taking handoffs from the cloud triage teams and driving hardware and software investigation through to resolution.
• Identify systemic hardware issues within a single cloud provider and across cloud providers, separating cloud provider specific behavior from platform behavior already characterized in Meta's own fleet.
• Represent Meta's reliability, diagnosability, and serviceability expectations to cloud providers, compiling the technical evidence those conversations depend on.
• Carry findings from the cloud environment back into Meta's own platform work, and apply what is already known about Meta's platforms to accelerate diagnosis in the cloud.
• Provide end to end lifecycle support (operational test through end of life decommissioning) of hardware platforms and new technologies in the data centers.
• Drive complex technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling
• Analyze health of the global fleet of servers to proactively identify systemic issues, and take appropriate action to quickly mitigate impact
• 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
• Identify risks early in new hardware programs and contribute the test methods needed to characterize the product and assure end customer needs are met
• Act as product owner for specific server and/or storage platforms. Perform and drive RCA and CA, in collaboration with hardware and software engineering teams
• Issue timely alerts and fixes to operations teams, and assure a robust feedback pipeline to engineering teams
• 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
• Provide serviceability feedback on production hardware resulting in more efficient repair activities

Skills

Mentoring technicians

Data-driven decisions

Cross-team collaboration

Communication

Education

CS/CE degree or equivalent

Electrical/Mechanical/CS engineering degree

Tools

Bash

PHP

Python

Perl

Job description

Meta seeks an experienced hardware engineering professional with leadership in server hardware, high-performance compute, storage, GPUs, and networking for data centers. You will own platform reliability across in-house and cloud-provider environments, troubleshoot at scale, and drive cross-functional improvements in a rapidly growing infrastructure.

Responsibilities include identifying systemic issues, mentoring teams, and collaborating with HW, software, and power/cooling groups to optimize