Systems Integration Engineer
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Jul 11, 2026. Meta scores B on the Alion truth index.
These skills will be used to develop test plans for operational integration of future AI/ML, compute, storage and networking products into the existing software tooling infrastructure. The candidate shall also have good knowledge of the AI/ML system architecture at the block level with hands-on skills to triage the systematic failures in the field.
This role will interact with cross functional teams and individuals across engineering, operations, and leadership teams. This role requires an experienced, dedicated professional to effectively collaborate and influence internal stakeholders on the validation of infrastructure tooling support for Meta designed hardware.
In this role, you will work on a small team focused on solving complex systems integration challenges across Meta's data center infrastructure.
Responsibilities
Lead new product introduction and associated processes for the successful launch of new hardware platforms into our data centers globally Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic coverage plans for both hardware and software Lead hardware reviews and drive system Design for Serviceability requirements to ensure form, fit and function for new hardware development in our existing data center environment/architecture Lead the development and execution of Data Center readiness tooling validation testing based on tooling development plans Early engagement with design development teams (both internal and external) to drive improvements and influence hardware and tooling architecture Partner with cross functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones Partner with cross functional partners in Meta's Data Center Operations team to understand infrastructure deployment and operational requirements Collaborate with Production Engineers, Hardware Validation Engineers, Tooling Automation Engineers, and Data Center Operations Engineers to build thorough test strategy and test plans for validating the software needed for Data Center Operations Work with ODM/OEM vendors as needed to define the product specifications, development plans & test plans Capture lessons learned for issues in Production and create test cases to address those issues in future hardware platforms 25% domestic and/or international travel required to Meta Data Centers/ offices
Qualifications
BS in Engineering or relevant technical field, or commensurate technical experience 10+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage or networking equipment Strong communications skills and demonstrated ability to influence cross functional teams Strong interpersonal skills and a solution-oriented attitude Proven track record of dealing with ambiguity and developing processes for new technologies and taking them to production Experience developing test plan derived from specifications and executing to those plans using industry standard testing tools for successful completion Strong technical aptitude demonstrated by familiarity with ASIC, compute, storage & network architecture and components, hardware troubleshooting and diagnosis capabilities, and/or hardware manufacturing Experience working in a global environment with geographically distributed 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 integration Experience building cross-functional relationships and influencing policies and procedures to improve hardware platform integration Experience with Linux operating systems and utilities Experience with test-driven software development Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with hardware development and lifecycle management Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with AI/ML hardware development and deployment at scale Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console Proficiency with git or similar SCM tools Master's or PhD in Electrical, Industrial or Manufacturing engineering Experience with developing for, or managing large-scale server installations