Descripción de la oferta
We are looking for an experienced HPC Platform Engineer to design, deploy, operate, and evolve next-generation computing platforms. This role requires strong expertise in distributed systems, automation, high-performance networking, and hardware acceleration, combined with the ability to work in research-driven and production environments. The successful candidate will play a key role in building scalable HPC infrastructures and enabling hybrid HPC–Quantum workflows in collaboration with software engineers, researchers, data scientists, and technology partners. The main objective of this position is to deliver robust, efficient, and scalable platforms that support advanced computational workloads while preparing the organization for the progressive adoption of quantum computing technologies. Key Accountabilities 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. Desired Skills and Qualifications Technical Skills Strong experience in: 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.
