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Senior Platform Engineer, AI Server

3 months ago

Solapur, India Rexus Group Full time
Job Description: Senior Platform Software Engineer, AI Server - GPU
Location: Mumbai, Powai (Rotational Shift)
Job Type: Full-time
Experience: 15+ Years
About Rexus Group: Rexus Group is a leading global provider of IT solutions, specializing in advanced technology infrastructure, AI-driven innovations, and comprehensive managed services. We work with industry leaders and cutting-edge technologies to deliver scalable and efficient solutions for our clients worldwide.Role Overview: Rexus Group is seeking a highly skilled and experienced Senior Platform Software Engineer with a strong focus on AI Server and GPU technologies. The ideal candidate will have extensive experience in High-Performance Computing (HPC) cluster orchestration, GPU-based AI server environments, and related technologies. This role will involve designing, developing, and maintaining advanced HPC and AI platforms that support critical workloads in various industries.Key Responsibilities:Lead the design, development, and optimization of AI and GPU-based server platforms, ensuring high performance and scalability.Oversee HPC cluster orchestration using NVIDIA Base Command Manager, managing and optimizing clusters like NVIDIA DGX A100 and NVIDIA SuperPOD.Develop and maintain HPC applications utilizing technologies such as MPI, OpenMP, CUDA, RDMA, SIMD, and MIMD.Configure and manage job schedulers including SLURM, LSF, and Open PBS to efficiently allocate resources and manage workloads.Implement and manage high-performance networks using InfiniBand and NVIDIA Unified Fabric Manager (UFM).Administer and optimize parallel file systems like Lustre, DDN Exascaler, and NFS for high-performance data storage and retrieval.Ensure the security and reliability of network protocols such as TCP/IP, UDP, IPoIB, and RoCE.Deploy and manage cloud-based HPC environments on AWS, Oracle Cloud Infrastructure, and Microsoft Azure.Utilize scripting skills in Python to automate workflows and enhance system functionality.Monitor and maintain platform performance using tools like Prometheus, Grafana, and Nagios.Implement and manage containerization using Docker and Kubernetes for scalable application deployment.Manage domain services including Active Directory, LDAP, NIS, and DNS to ensure secure and efficient system operations.Collaborate with cross-functional teams to deliver end-to-end solutions that meet client needs.Provide technical leadership, mentoring, and guidance to junior engineers and team members.Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.7+ years of experience in HPC, AI, GPU server platforms, and related technologies.Deep understanding of HPC hardware, specifically NVIDIA DGX A100, SuperPOD, and A100 GPU architectures.Proficiency in HPC cluster orchestration using NVIDIA Base Command Manager.Extensive experience with job schedulers like SLURM, LSF, and Open PBS.Strong knowledge of HPC applications including MPI, OpenMP, CUDA, RDMA, SIMD, and MIMD.Expertise in high-performance networks and protocols such as InfiniBand, TCP/IP, UDP, IPoIB, and RoCE.Proven experience with parallel file systems like Lustre, DDN Exascaler, and NFS.Hands-on experience with cloud computing platforms AWS, Oracle Cloud Infrastructure, and Microsoft Azure.Advanced scripting skills in Python for automation and system integration.Proficiency in monitoring and visualization tools like Prometheus, Grafana, and Nagios.Strong knowledge of containerization tools like Docker and Kubernetes.Experience managing domain services such as Active Directory, LDAP, NIS, and DNS.Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.Strong communication and leadership skills.Preferred Qualifications:Certifications in relevant HPC, AI, or cloud technologies.Experience with NVIDIA Unified Fabric Manager (UFM) and InfiniBand configurations.Familiarity with Windows Server 2008, Red Hat 7, CentOS 7, and Ubuntu operating systems.