Meta is seeking an experienced Hardware Systems Engineer to join their Release to Production (RTP) team, focusing on AI/ML initiatives that support large-scale AI Training and Inference. This role sits at the intersection of hardware and software engineering, working with cutting-edge technology in Meta's datacenter infrastructure.
The position involves leading the validation and deployment of advanced hardware systems, with a particular focus on ASIC productization in datacenter applications. You'll be working with Meta's server and datacenter infrastructure, which forms the foundation of their rapidly scaling operations. The role requires expertise in both hardware and software domains, with a strong emphasis on system-level understanding and optimization.
As a Hardware Systems Engineer, you'll collaborate with diverse teams including hardware designers, networking specialists, system manufacturers, and datacenter operations teams. You'll be responsible for end-to-end system validation, developing and implementing robust test plans, and ensuring the reliable operation of complex hardware systems.
The ideal candidate brings 6+ years of hands-on engineering experience, with strong expertise in ASIC performance characterization, hardware-software integration, and system validation. You should be proficient in programming languages like Python and C++, and have experience with various hardware components including PCIe, Serdes, networking, and memory systems.
This role offers an exciting opportunity to work on next-generation AI hardware systems at scale, with competitive compensation ranging from $132,000 to $191,000 per year, plus bonus and equity. You'll be part of Meta's mission to build technologies that connect people and push the boundaries of what's possible in social technology, including ventures into augmented and virtual reality.
The position is based in either Austin, TX or Menlo Park, CA, offering the chance to work with some of the industry's best minds in hardware engineering and AI technology. Meta provides comprehensive benefits including medical, dental, and vision insurance, 401k plans, and equity packages, making this an attractive opportunity for experienced hardware engineers looking to make an impact in the AI infrastructure space.