Annapurna Labs, an AWS organization, is at the forefront of silicon and software innovation for AWS customers. With development centers in the U.S. and Israel, they combine cloud scale with top engineering talent. The team has improved AWS cloud infrastructure through products like AWS Nitro, ENA, EFA, AWS Graviton, and ML accelerators Inferentia and Trainium.
As a Sr. System Development Engineer in Infrastructure Security, you'll be responsible for building and securing cloud-scale machine learning acceleration infrastructure. You'll work directly with engineering teams developing custom hardware/software for ML products like AWS Inferentia2 and Trainium. The role involves defining security requirements, implementing automation for OS patching, managing vulnerability remediation, and maintaining top-tier security while balancing risk and delivery.
The position offers the opportunity to work with cutting-edge technology in machine learning acceleration, custom silicon development, and cloud infrastructure. You'll be based in Austin, Texas, working alongside talented engineers in state-of-the-art labs. The work impacts AWS customers at massive scale, combining security expertise with infrastructure development.
This role is perfect for someone who wants to make a significant impact in cloud computing security while working with advanced machine learning hardware. You'll need to balance security requirements with operational needs, automate security processes, and help shape the security posture of next-generation cloud infrastructure.