Job Description

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.