Teams at Multiverse Computing

Build and maintain large-scale machine learning training, data, evaluation, reinforcement learning, and inference pipelines. Develop distributed multi-GPU systems, optimize GPU performance, package models for deployment, and translate research ideas into tested, reproducible code. The role requires strong Python, PyTorch, transformer, Linux, container, cluster, and distributed-training expertise, with opportunities to work on LLM post-training, model compression, edge deployment, and physical AI.

Own public-sector commercial growth in Spain by developing and closing large AI contracts with ministries, regional governments, agencies, and public institutions. Build strategic account pipelines, engage executive and political stakeholders, lead public tenders and framework agreements, negotiate contracts, and coordinate proposals through signature and handover. The role requires strong knowledge of Spanish public procurement, complex technology sales, senior stakeholder management, and fluency in Spanish and English.

Designs and operates AWS and Kubernetes platforms, establishes DevOps standards, automates CI/CD, and supports customer deployments. The role owns observability, SLOs, alerting, incident response, capacity planning, and root-cause analysis. It also mentors engineers, reviews infrastructure changes, maintains runbooks, improves developer tooling, and contributes to internal platform and infrastructure practices in a fast-paced quantum computing startup.