Systems Integration Engineer
Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Locations
- Fremont, CA, USA
Salary
167,792 - 221,100 USD / yearly
Skills Required
- Simio and FlexSimintermediate (Modeling and Simulation)
- Queueing theoryintermediate (Modeling and Simulation)
- Discrete event simulationintermediate (Modeling and Simulation)
- Lean Six Sigma green beltintermediate (Lean Manufacturing)
- Statistical process controlintermediate (Lean Manufacturing)
- Minitabintermediate (Statistical Analysis Tools)
- Pythonintermediate (Advanced Engineering Analytics)
- Data modelingintermediate (Advanced Engineering Analytics)
- Programmingintermediate (Advanced Engineering Analytics)
- Data visualizationintermediate (Advanced Engineering Analytics)
- System Architecture and Integrationintermediate (Advanced Engineering Analytics)
- Electronics Packagingintermediate (Semiconductor Manufacturing)
- Surface mount technologyintermediate (Electronics Packaging)
- PowerBIintermediate (Business Intelligence Tools)
- Kibanaintermediate (Business Intelligence Tools)
- Mathematicaintermediate (Computational Tools)
- Juliaintermediate (Computational Tools)
- VBAintermediate (Computational Tools)
- Statistical analysisintermediate (Methodologies)
- Lean Manufacturingintermediate (Enterprise Systems Engineering)
- Project Managementintermediate (Enterprise Systems Engineering)
- Supply chain network optimizationintermediate (Supply Chain)
- Inventory Optimizationintermediate (Supply Chain)
- AI model developmentintermediate (Natural Language Processing)
Required Qualifications
- Master’s degree (or foreign equivalent) (degree in Industrial and Systems Engineering, Mechanical Engineering, Optical Engineering, Physics, Electronics, or a related field)
- graduate-level course, research project, or internship (experience in Modeling and Simulation: Simio and FlexSim, Queueing theory, Discrete event simulation (warehouse optimizations))
- graduate-level course, research project, or internship (experience in Lean Six Sigma green belt: lean manufacturing, statistical process control, statistical analysis tools (minitab))
- graduate-level course, research project, or internship (experience in Advanced Engineering Analytics: (Data modeling, programming, data visualization, System Architecture and Integration) using Python)
- graduate-level course, research project, or internship (experience in Electronics Packaging: domain knowledge of semiconductor manufacturing industry at various levels of packaging, theory and applications of surface mount technology and associated abnormalities)
- graduate-level course, research project, or internship (experience in Business Intelligence Tools: PowerBI and Kibana)
- graduate-level course, research project, or internship (experience in Computational Tools: practical code-writing for scientific and engineering problems using Mathematica, Julia, and VBA)
- graduate-level course, research project, or internship (experience in Statistical analysis and methodologies)
- graduate-level course, research project, or internship (experience in Enterprise Systems Engineering: Lean Manufacturing and Project Management)
- graduate-level course, research project, or internship (experience in Supply chain network optimization and Inventory Optimization)
- graduate-level course, research project, or internship (experience in AI model development for Natural Language Processing)
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.
- Collaborate with cross functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones.
- Collaborate 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.
- Capturing lessons learned for issues in Production and creating test cases to address those issues in future hardware platforms.
- Experience triaging, testing, developing, and debugging hardware platforms.
- Demonstrate technical skills and experience creating documentation for users of all levels.
