Job Opportunities API

Multiverse Computing Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. Our flagship products, CompactifAI and Singularity, address critical needs across various industries: · CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable. · Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity. We’re committed to building a truly inclusive culture—come and join us. As a Software Engineer you will · Join a world-class team of Quantum and AI experts with an extensive track record in both academia and industry. · Work with Fortune-500 customers from government and private sectors. · Contribute to our groundbreaking compressing tool · Tackle high value open problems from industry. · Take on technical leadership and work together with software and DevOps engineers as well as our machine learning and quantum experts to industrialize Multiverse’s core technologies Required Qualifications Software Engineering Proven track record designing and implementing production-grade software running under real load Solid grasp of clean architecture, separation of concerns, SOLID principles, testability and maintainability as first-class concerns Experience with software design patterns and sound judgment on when (and when not) to apply them Understands service-level architecture: API design, layered architectures, event-driven patterns, and how to structure code that outlives its author Good grounding in software security principles: input validation, secret management, dependency auditing, container hardening, secure API design Experience with containerized deployment fundamentals (Docker) and CI/CD concepts Soft Skills Proposes solutions to unfamiliar problems: research first, presents alternatives with trade-offs, doesn’t wait to be told the answer Breaks complex cross-repo issues into sequenced, followable steps Acts as developer, mentor, and reviewer in the same sprint – writes production code, gives PR feedback to mid-level engineers, upholds review standards Communicates technical risk clearly – surfaces blockers early with context Comfortable with ambiguity and working under pressure; self-directed Collaborates cross-functionally (MLOps, DevOps, Platform Engineering) without needing a manager to mediate Preferred Qualifications ML & LLM Exposure Exposure to PyTorch and/or HuggingFace Transformers (fine-tuning, inference, compression workflows) Familiarity with ML infra concepts: training orchestration, experiment tracking, GPU job scheduling Awareness of LLM techniques: distillation, quantization, pruning, inference serving Some exposure to GPU-aware engineering (CUDA, mixed precision, multi-GPU) is a plus Tooling & Infrastructure ECR, ArgoCD/Helm, structured CI/CD pipelines beyond basic Docker Async long-running job orchestration patterns CLI frameworks,