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.
You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!
As a Senior Software Engineer - Architecture, you will:
Join our Platform Engineering team and a world-class team of Quantum experts with an extensive track record in both academia and industry
Work with Fortune 500 customers from government and private sectors
Collaborate with the founding team in a fast-paced startup environment and tackle high-value open problems from the industry
Take on technical leadership and work together with Software and DevOps engineers as well as ML and Quantum experts to productionize Multiverse’s core technologies
Provide technical standards, coding guidelines and design patterns to our Tech team
Analyze architecture tradeoff and be the driving force to implement new technologies and architectures
Bachelor degree or higher in Computer Science, a related technical field, or relevant industry experience
6+ years of experience in software engineering, preferably with a focus on machine learning, data science, or operations research applications
Expert knowledge of Python and preferably other languages such as Julia and C/C++
Familiarity with documenting and diagramming complex architectures
Familiar with different authentication protocols
Familiarity with containerization technologies such as Docker and Kubernetes
Experience in designing and developing distributed data-intensive systems on the cloud, e.g. AWS, GCP, Azure
Experience in coaching and sharing knowledge with different teams about software architectural best practices
Ability to work with experts from different professional backgrounds, both in-person and through online resources
Experience in leading teams
Experience with frontend development
Familiarity with accelerators (GPU, FPGA, TPU, Analog Co-processors, etc.)
Experience with algorithm development and optimization, designing scalable and robust class structures
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