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.
Refined Required Skills for a Software Engineer
Core Technical Qualifications:
- Distributed Systems Expertise: Experience with distributed systems platforms (e.g., Apache Kafka, Apache Cassandra), containerization (e.g., Docker, Kubernetes), or real-time data processing frameworks (e.g., Apache Flink, Apache Storm).
- Edge Computing Proficiency: Knowledge of edge computing architectures, device management, or IoT integration tools (e.g., AWS IoT Core, Google Cloud IoT Core).
- Real-Time Processing: Proficiency in real-time data pipelines (e.g., Apache K8s, Apache Storm) or edge-aware frameworks (e.g., EdgeX, OpenEdge).
- Cloud Deployment: Deep expertise in cloud-native deployment (e.g., AWS Lambda, Google Cloud Functions) and container orchestration (e.g., Kubernetes).
- API Design & Integration: Strong experience designing and integrating APIs for low-latency protocols (e.g., WebSocket, gRPC) in edge environments.
- Model Lifecycle Management (MLOps): Familiarity with MLOps tools (e.g., TensorFlow Serving, MLflow) for managing AI models in distributed clusters.
Preferred Qualifications:
- Specialized Hardware Integration: Knowledge of hardware-software co-design principles, including embedded systems, middleware, or device management protocols.
- Edge-Specific Skills: Experience with edge computing frameworks (e.g., AWS Edge, Google Cloud Edge) or real-time edge devices (e.g., Raspberry Pi, Arduino).
- Adaptability to New Tech: Ability to rapidly learn and implement new distributed systems, edge computing platforms, or cloud-native technologies.
- Collaboration Across Disciplines: Experience working with experts in hardware, IoT, or industry-specific domains (e.g., manufacturing, logistics) to design integrated solutions.
Soft Skills:
- Adaptability to Rapid Changes: Willingness to pivot between edge, cloud, and distributed systems in evolving tech landscapes.
- Cross-Functional Communication: Strong collaboration skills to bridge gaps between hardware engineers, data scientists, and cloud operators.
Additional Recommendations:
- Prioritize skills aligned with real-time AI inference, edge-aware software development, and distributed task automation.
- Highlight experience with modern cloud-native tools (e.g., AWS Lambda, Kubernetes) and container orchestration for scalability.
- Emphasize problem-solving skills for debugging edge-specific challenges (e.g., latency, connectivity).
Perks & Benefits
- Variable performance bonus.
- We offer work visa sponsorship (If applicable).
- Relocation package (if applicable).
- Private health insurance.
- Flexible remuneration: hospitality and public transportation.
- Eligibility for educational budget according to internal policy.
- Language classes and discounted lunch options
- Working in a high paced environment, working on cutting edge technologies.
- Career plan. Opportunity to learn and teach.
- Progressive Company. Happy people culture
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
