Position Overview- We are looking for a skilled High-Performance Computing (HPC) Infrastructure Engineer to join our dynamic team. As a HPC Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining HPC-based infrastructure. You will play a crucial role in ensuring the optimal performance, reliability, and scalability of our deep learning and AI infrastructure.

Key Responsibilities-

• Designing, deploying, and managing HPC systems and related infrastructure.
• Configuring and optimizing DGX clusters for performance, reliability, and scalability.
• Collaborating with data scientists, AI engineers, and IT teams to integrate HPC systems into our overall AI and deep learning workflows.
• Monitoring system performance and implementing proactive measures to maintain optimal operation.
• Troubleshooting and resolving issues related to HPC systems, including hardware, software, and network components.
• Implementing security measures and best practices to ensure the integrity and confidentiality of DGX-based data and workflows.
• Documenting infrastructure configurations, processes, and procedures.
• Providing technical guidance and training to team members HPC-related technologies and best practices.
• Staying current with OEMs that provide HPC hardware and software advancements and recommending upgrades or enhancements as needed.

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. (Master's degree preferred)
• 5 to 8 years of experience in the HPC domain
• Proven experience in designing, deploying, and managing NVIDIA DGX and/or HPC systems in production environments.
• Strong understanding of AI and deep learning frameworks and their integration with HPC systems.
• Proficiency in scripting languages such as Python for automation and configuration management.
• Experience with virtualization technologies (e.g., Docker, Kubernetes) in conjunction with HPC systems.
• Knowledge of storage solutions (e.g., NFS, Ceph) and their integration with HPC clusters.
• Familiarity with networking principles, protocols, and configurations related to HPC infrastructure.
• Excellent troubleshooting and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Effective communication skills, both verbal and written.