Senior staff AI/HPC Infrastructure Engineer

About this kind of role

What a Senior staff AI/HPC Infrastructure Engineer usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains the infrastructure that supports artificial intelligence and high-performance computing workloads. This includes managing compute resources, storage systems, and networking to ensure optimal performance and scalability for AI/HPC applications. Responsibilities often involve automation of infrastructure tasks, performance monitoring, and troubleshooting complex system issues. They collaborate with data scientists, machine learning engineers, and other stakeholders to meet their computational needs.

Tools and skills: Proficiency in Linux operating systems, scripting languages like Python or Bash, experience with cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and knowledge of HPC schedulers and parallel programming models is generally required.

Good fit for: Individuals with a strong background in systems engineering and a passion for enabling cutting-edge AI and scientific research through robust and efficient infrastructure are typically successful in this role.