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 starting from €60,000, based on experience and qualifications.

• Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.

• Relocation package (if applicable).

• Up to 9-month contract, ending on 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.

As a Machine Learning Engineer, you will

Lead the design, implementation, and management of scalable compute clusters. The ideal candidate combines electronics/hardware expertise with hands-on experience in cluster administration and distributed systems. Responsibilities involve hardware-software integration, infrastructure automation, and technical team mentorship to deliver robust, high-performance solutions.

• Architect, build, and maintain distributed compute clusters using diverse hardware.
• Integrate various hardware components and support deployment pipelines.
• Automate cluster operations including provisioning, monitoring, and upgrades.
• Ensure cluster reliability, security, and performance.
• Mentor team members in cluster management and systems integration.
• Collaborate across hardware and software domains for seamless project delivery.

Required Qualifications

• Bachelor's or Masters's Degree in Electronics, Electrical, or Computer Engineering.
• Experience in designing, deploying, or operating distributed computing clusters
• Strong understanding of computer architecture and hardware-software interaction.
  
• Linux administration and scripting (Python, Bash, etc.).
• Demonstrated adaptability and cross-disciplinary collaboration.

Preferred Qualifications

• Experience with cluster automation, orchestration, or personal hardware projects.
• Familiarity with infrastructure monitoring, DevOps practices, and integration of specialised hardware.

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!

Department

Technical

Role

Machine Learning Engineer

Locations

Madrid, Barcelona

Employment type

Contract

Workplace type

Hybrid

Seniority level

Associate

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