HPC Consultant

Key Accountabilities JOB DESCRIPTION - Design, deploy, and maintain HPC. - Experience in high-performance computing (HPC) infrastructure deployments - Lead the technical architecture of compute clusters, high-speed interconnects, and storage systems. - Work closely with R&D teams to align infrastructure with application and research requirements. - Define operational standards, automation strategies, and best practices. - Ensure platform availability, performance, and security. - Continuously evaluate emerging technologies and their applicability. - Act as a technical reference for HPC and quantum computing within the organization. Responsibilities Design and implementation of: - HPC platforms: compute clusters, GPU acceleration, high-performance interconnects (InfiniBand, advanced Ethernet). - Scheduling and orchestration: SLURM, PBS, or similar workload managers. - Storage systems: parallel file systems (Lustre, GPFS), object storage, and hybrid solutions. - Containers and reproducible environments: Singularity/Apptainer, Docker, Kubernetes for HPC workloads. - Automation & Infrastructure as Code: Ansible, Terraform, CI/CD pipelines. - Quantum computing integration: quantum simulators, SDKs (Qiskit, Cirq, Braket), and cloud or hardware backends. - Performance tuning and resource optimization. - Advanced user support and incident resolution. - Technical documentation and knowledge sharing. - Collaboration with vendors, research centers, and technology partners. Strong Experience In Desired Skills and Qualifications Technical Skills - Large-scale Linux systems. - HPC and accelerated computing (CPU/GPU). - SLURM or other job schedulers. - High-performance networking (InfiniBand, RDMA). - HPC containers (Singularity/Apptainer). - Automation (Ansible, Terraform, Bash, Python). - Knowledge of: - Quantum computing fundamentals and hybrid workflows. - Quantum SDKs (Qiskit, Cirq, Braket, or similar). - HPC-Cloud integration (AWS, Azure, GCP). - Experience with NVIDIA/AMD hardware and Mellanox networking is a plus. - Ability to translate scientific or business requirements into technical solutions. - Languages: Spanish & English Experience Proven experience (3 years) as: - HPC Platform Engineer - Scientific Computing Systems Engineer - DevOps / SRE in high-performance environments - Experience in research institutions, supercomputing centers, or advanced industrial environments is highly valued. Why Join Us - Cutting-edge technology: work with HPC and quantum computing applied to real-world challenges. - High impact: your platforms will enable critical scientific and industrial projects. - Collaborative culture: highly skilled, multidisciplinary teams. - Professional growth: access to advanced training, certifications, and collaboration with leading technology partners.