Job Description

We are seeking a highly skilled HPC/GPU Operations Engineer to manage, optimize, and maintain high-performance computing (HPC) infrastructure, with a focus on GPU-accelerated workloads. The ideal candidate will be responsible for ensuring the reliability, efficiency, and scalability of HPC systems used for scientific computing, AI/ML, and data-intensive applications. With 6-10 years of experience

Career Level - IC3

Responsibilities

HPC & GPU System Management

Administer and maintain HPC clusters, GPU nodes, and high-speed interconnects.

Deploy and configure GPU-accelerated workloads for AI/ML, scientific computing, and simulations.

Monitor system performance, troubleshoot issues, and optimize resource utilization.

Software & Middleware Support

Install, configure, and maintain HPC-related software, libraries, and tools (CUDA, OpenMP, MPI, etc.).

Support containerized workflows using Docker, Singularity, or similar technologies.

Ensure compatibility of software stacks with GPU architectures (NVIDIA, AMD, Intel).

Performance Optimization & Monitoring

Tune GPU and CPU performance for specific workloads, including benchmarking and profiling.

Utilize monitoring tools (e.g., Prometheus, Grafana, Slurm, Ganglia) to track system health and efficiency.

Optimize scheduling and resource allocation in workload managers (Slurm, PBS, LSF, etc.).

Security & Compliance

Ensure system security and access control for HPC resources.

Apply software patches, firmware updates, and security best practices.

Assist in regulatory compliance for HPC environments.

User Support & Documentation

Provide support to researchers, data scientists, and engineers using HPC resources.

Develop and maintain documentation on best practices, troubleshooting, and system usage.

Conduct training sessions or workshops on HPC/GPU computing.

Required Qualifications

Technical Skills

Experience managing HPC clusters and GPU-based computing environments.

Proficiency in Linux system administration, scripting (Bash, Python), and automation (Ansible, Terraform).

Knowledge of parallel computing, GPU programming (CUDA, OpenCL), and HPC frameworks.

Familiarity with networking (Infiniband, RDMA), storage (Lustre, GPFS, NFS), and virtualization.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.