Hardware Systems Engineer, NPI AI

Meta is seeking an experienced Hardware Systems Engineer to join their Release to Production (RTP) team, focusing on AI/ML initiatives for 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 closely with various teams including hardware designers, networking teams, and system manufacturers to enable new systems for production data centers.

As a Hardware Systems Engineer, you'll be responsible for developing and executing comprehensive validation plans, designing experiments, and creating tools for system health monitoring. The role requires strong technical expertise in areas such as ASIC architecture, AI workloads, and system-level testing, combined with the ability to communicate complex technical findings to diverse audiences.

The ideal candidate brings 6+ years of hands-on engineering experience, with a strong background in hardware and software integration. You should be proficient in Python, C/C++, and comfortable working in Linux environments. Experience with AI/HPC systems and familiarity with tools like PyTorch and CUDA is highly valued.

Meta offers a competitive compensation package ranging from $132,000 to $191,000 annually, plus bonus and equity opportunities. You'll be working at one of the world's leading technology companies, contributing to the development of next-generation AI infrastructure while collaborating with talented engineers and researchers.

This role offers the opportunity to work on challenging technical problems at scale, with access to state-of-the-art hardware and software resources. You'll be part of Meta's mission to push the boundaries of AI technology while ensuring robust and reliable system performance in production environments.

The position is available in Austin, TX or Menlo Park, CA, offering the chance to work in major tech hubs with vibrant engineering communities. If you're passionate about hardware systems engineering and want to make an impact on the future of AI infrastructure, this role provides an excellent opportunity to work on innovative projects at the forefront of technology.