Software Engineer

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., 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

Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU.
We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.

Digital methods usually fail at efficiently tackling these problems. Quantum computing, however, provides us with a powerful toolbox to tackle these complex problems, such as outstanding optimization methods, software for quantum machine learning, and quantum enhanced Monte Carlo algorithms.

Multiverse Computing applies these cutting edge methods to provide software which is customized to your needs, giving companies a chance to derive value from the second quantum revolution.