Data Center Systems Integration Engineer for AI/ML

Meta; Austin (TX); On-site; USD 144,000 - 204,000; Full time

Job summary

Meta seeks a Systems Integration Engineer to lead hardware platform integration into global data centers, define serviceable designs, and validate tooling for AI/ML compute, storage, and networking deployments.

You will collaborate with cross-functional teams, drive diagnostic coverage, and develop test plans from specifications, including working with ODM/OEM vendors. Travel up to 25% is required.

Qualifications

• BS engineering or commensurate technical experience.
• 5+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage, or networking equipment.
• Strong communication skills and a demonstrated ability to influence cross-functional teams.
• Experience collaborating with cross-functional partners to identify and resolve technical challenges.
• Experience developing test plans derived from specifications and executing those plans using industry-standard testing tools for successful completion.
• Experience with ASIC, compute, storage, and network architecture and components, hardware troubleshooting and diagnosis, and/or hardware manufacturing.
• Experience working in a cross-cultural environment with remote teams.
• Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java).
• Experience learning software, frameworks, and APIs.
• Experience with operational validation methods and verification activities for the new product's integration.
• Experience building cross-functional relationships and influencing policies and procedures to improve hardware platform integration into data centers.
• Experience introducing new hardware platforms into data centers, including developing hardware system test plans or validation planning as a systems engineer supporting AI/ML, compute, storage, and network hardware in a data center environment.

Responsibilities

• Lead new product introduction and processes for launching new hardware platforms into data centers globally.
• Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic coverage plans for hardware and software.
• Lead hardware reviews and drive system Design for Serviceability requirements for new hardware development in our data center environment.
• Lead the development and execution of Data Center readiness tooling validation testing based on tooling development plans.
• Engage with design development teams to drive improvements and influence hardware and tooling architecture.
• Collaborate with cross functional teams to deliver hardware platform roadmaps and milestones.
• Collaborate with Meta's Data Center Operations to understand deployment and operational requirements.
• Collaborate with Production, Hardware Validation, Tooling Automation, and Data Center Operations Engineers to build test strategy for validating software in Data Center Operations.
• Work with ODM/OEM vendors to define product specifications, development plans & test plans.
• Capture lessons learned from production issues and create test cases for future hardware platforms.
• Travel up to 25% domestically and/or internationally to Meta Data Centers/offices.

Skills

Python

C++

Java

PHP

Linux

Git

Communication

Cross-functional collaboration

Education

BS engineering

Master's in Electrical/Industrial/Manufacturing engineering

Tools

IPMI

Serial console

Job description

Meta seeks a Systems Integration Engineer to lead hardware platform integration into global data centers, define serviceable designs, and validate tooling for AI/ML compute, storage, and networking deployments.

You will collaborate with cross-functional teams, drive diagnostic coverage, and develop test plans from specifications, including working with ODM/OEM vendors. Travel up to 25% is required.