Meta is seeking a Systems Engineer for their Release to Production (RTP) team focusing on AI/ML initiatives. This role is crucial for managing the end-to-end Hardware Lifecycle of Meta's servers, including prototyping, debugging, and system monitoring. The position involves working with cutting-edge AI infrastructure at datacenter scale, collaborating with various teams to enable new systems deployment in production data centers.
The ideal candidate will support scale up and scale out network technologies for Meta's AI systems, requiring deep knowledge of network technologies (NICs, Switches, Optics, DACs, Protocols-TCP/IP, RDMA) and hands-on experience throughout hardware/software lifecycle phases. This role combines hardware expertise with software engineering skills, making it perfect for someone passionate about large-scale AI infrastructure.
Working at Meta offers the opportunity to impact billions of users through their technology platforms. The company is actively moving beyond traditional social media into immersive experiences like AR and VR. The position offers competitive compensation ($132,000-$191,000/year) plus bonus, equity, and comprehensive benefits.
The role requires both technical depth in systems engineering and the ability to work cross-functionally with various teams. You'll be at the forefront of AI infrastructure development, working with state-of-the-art technology while helping Meta push the boundaries of what's possible in the AI space.