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.