We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
We offer
- Competitive annual salary
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending in June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
- 5–8 years of experience in software engineering, including 2+ years in a leadership or tech lead role.
- Strong project management skills, including sprint planning, roadmap creation, and cross-functional coordination.
- Proven experience managing cross-functional teams (backend, frontend, or full stack) delivering complex systems.
- Excellent written and verbal communication skills with both technical and non-technical stakeholders.
- Solid understanding of API-driven architectures, micro-services, and cloud-native environments (AWS or GCP).
- Demonstrated ability to translate research needs into product requirements and scalable technical solutions.
- Hands-on experience with Python, Go, or TypeScript, and familiarity with FastAPI, React/Next.js, or similar frameworks.
- Deep appreciation for product quality, developer experience, and system reliability.
- Strong background in CI/CD, containerization (Docker/Kubernetes), and modern DevOps practices.
Preferred Qualifications
- Prior experience building or managing ML infrastructure, workflow orchestration, or AI developer tools (e.g., Flyte, MLflow, Hugging Face Hub).
- Understanding of LLM lifecycle — from fine-tuning and evaluation to deployment and observability.
- Exposure to R&D automation, internal tooling, or data platform engineering.
- Experience mentoring engineers through system design, performance optimization, and scaling challenges.
- Product-oriented mindset: comfort balancing R&D iteration speed with engineering rigor and user experience.
- Interest in creating an environment where ML engineers and researchers can focus on innovation, not infrastructure.
About Multiverse Computing
Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs:
- CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.
- Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.
You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!
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.
