
Advanced AI Infrastructure Developer
1 day ago
High Performance Computing Specialist
Design, Build, and Support Advanced AI Infrastructure
- Evaluate Current AI Requirements and Anticipate Future Growth
- Develop and Implement AI Infra to Meet Business Objectives
Key Responsibilities:
- PFS and NFS Configuration and Management for Enhanced Data Transfer
- Libraries and Compilers Installation and Configuration for Optimized AI Operations
- Deployment and Management of Real-Time Monitoring and Observability Tools for AI Clusters
- Network Architecture and Troubleshooting of High-Speed Switches for AI Systems
Required Skills and Qualifications:
- Operating Systems: Linux (RHEL, CentOS, SuSE) for Seamless Integration
- Languages: C, C++, Bash, Python for Efficient Scripting
- Schedulers and Resource Management: PBS, SLURM, Grid Engine, LSF for Scalable Job Scheduling
- Cluster Management: xCAT, Bright Cluster Manager, War wolf for Simplified Cluster Deployment
- Monitoring: Grafana, Nagios, Zabbix, Ganglia for Proactive Issue Detection
- Compilers and Libraries: GNU, Intel, OpenMPI, Cuda, MPI for High-Performance Computing
- Networking: InfiniBand/ROCE/UFM/Ethernet/DPU for Fast Data Transfer
Benefits:
This position offers a unique opportunity to work with cutting-edge technologies and contribute to the development of advanced AI infrastructure.
Ongoing Training and Professional Development:
The selected candidate will have access to regular training sessions, workshops, and conferences to stay updated on the latest industry trends and best practices.
Collaborative Work Environment:
Our team is committed to fostering a collaborative and inclusive work environment that encourages open communication, creativity, and innovation.
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