Jobs 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.

Designs, builds, deploys, and operates production-grade AI agent systems and LLM-powered backend applications. Responsibilities include agent orchestration, tool integration, RAG, memory, evaluation, observability, security, cloud deployment, reliability, scalability, and cost optimization. The role collaborates with software, ML, data, DevOps, product teams, and customers while creating reusable components, contributing to technical direction, reviewing code, and mentoring engineers.

Research and develop large language and multimodal models across data pipelines, distributed training, post-training, reinforcement learning, compression, evaluation, and efficient inference. Build RL environments, reward functions, verifiers, and novel architectures; optimize models for GPUs and edge hardware; conduct rigorous experiments; publish results; review code; and mentor teammates.

Own enterprise sales across Singapore and APAC as the region’s first commercial hire. Lead prospecting, C-level engagement, consultative selling, deal shaping, forecasting, and closing complex AI and quantum software opportunities worth €2M–€10M+. Build market strategy, leverage senior networks, develop strategic partnerships, coordinate with European headquarters and cross-functional teams, and support customer adoption after the sale.

Manages strategic partnerships with cloud providers such as AWS and GCP. Oversees agreement execution, co-sell objectives, expense targets, partner benefits, KPI tracking, marketplace transactions, and joint go-to-market initiatives. Collaborates with sales, product, and marketing teams, resolves partnership issues, enables partner resources, and uses performance data to optimize outcomes.

Lead an international engineering team to design, implement, and deploy ML/Generative AI/vision systems (including LLMs, RAG, agentic AI) into cloud production. Manage project scope, risks, timelines, stakeholder communication, and technical direction while ensuring quality, documentation, and cross-team collaboration.

Lead strategic enterprise sales across the US for AI, LLM, and quantum infrastructure solutions. Manage full deal lifecycle for large, complex opportunities, engage C-suite stakeholders, co-create tailored AI use cases, and drive long-term account expansion through cross-functional collaboration and go-to-market execution.