Frontier Business Systems

1 day ago

Chennai, India Frontier Business Systems Full time

Work Location : Kanchipuram.

8+ Years of exp.


Job Description :


We are seeking a highly skilled HPC & Virtualization Engineer with expertise in NFS storage, OpenShift virtualization with AI, NVIDIA RTX software, HPC applications, and VDI solutions.

The ideal candidate will have a strong background in EDA cadence, LSF, storage configurations, and version control tools like Jira, Protex, and Klaworks.

Key Responsibilities :


- Design, deploy, and maintain HPC (High-Performance Computing) environments for AI/ML workloads.

- Manage and optimize OpenShift virtualization solutions integrated with AI and NVIDIA RTX software.

- Implement and manage NFS storage solutions for high-performance workloads.

- Support EDA cadence and LSF job scheduling for engineering applications.

- Configure and maintain VDI (Virtual Desktop Infrastructure) for remote access and workload management.

- Administer version control tools like Jira, Protex, and Klaworks to streamline development processes.

- Ensure seamless integration of storage and compute resources for HPC applications.

- Troubleshoot performance issues and optimize system configurations.

- Collaborate with cross-functional teams to enhance infrastructure scalability and efficiency.

Required Skills & Qualifications :


- Strong expertise in NFS storage and high-performance computing environments.

- Hands-on experience with OpenShift virtualization and AI-based applications.

- Proficiency in NVIDIA RTX software for AI/ML workloads.

- Experience in managing EDA cadence tools and LSF job scheduling.

- In-depth knowledge of VDI solutions and storage configuration.

- Familiarity with Jira, Protex, and Klaworks for version control and project management.

- Strong troubleshooting skills for performance tuning and infrastructure optimization.

- Excellent scripting skills (Bash, Python, or Ansible) for automation.

- Preferred : Experience in cloud-based HPC solutions (AWS, Azure, or Google Cloud).

Preferred Qualifications :


- Bachelor's or masters degree in computer science, IT, or a related field.

- Certifications in HPC, OpenShift, or NVIDIA AI/ML solutions are a plus.


(ref:hirist.tech)

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