Engineering Manager, AI / ML

Multiverse Computing; Donostia/San Sebastián; Vor Ort; EUR 55.000 - 80.000; Vollzeit

Benefits dieser Stelle

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

Work visa sponsorship

Relocation package

Private health insurance

Educational budget

Flexible working hours

Language classes

Discounted lunch options

Zusammenfassung

Multiverse Computing is seeking a skilled Manager in Donostia/San Sebastián to leverage cutting-edge quantum and AI technologies. You will lead a diverse team in developing AI systems, ensuring successful project delivery, and defining the technical direction for innovative solutions.

The ideal candidate holds a Master’s or Ph.D. in relevant fields and has over 5 years of experience in the industry. Join us to shape the future of AI in a multicultural environment.

Qualifikationen

• 5+ years of industry experience in AI or related fields.
• 2+ years of project management experience in technology.
• Hands-on experience with generative AI or software engineering.
• Excellent command of Python and cloud-based production environments.

Aufgaben

• Lead an international engineering team.
• Define technical direction for complex projects.
• Manage projects from initiation to completion.
• Communicate with stakeholders and team members.

Kenntnisse

Project management

Data science

AI technologies

Leadership skills

Excellent communication

Agile development

Python

Docker

Git

Spanish proficiency

English proficiency

Ausbildung

Master’s or Ph.D. in relevant fields

Tools

TensorRT

vLLM

GitHub

GitLab

Jobbeschreibung

Multiverse Computing 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 a fully multicultural, international team, we deliver hyper‑efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.

Job Overview

We are seeking a skilled and experienced Manager with a strong technical background in data science or AI. In this role you will leverage cutting‑edge quantum and AI technologies to lead the design, implementation, and deployment of machine learning, vision, or generative AI systems. You will work closely with cross‑functional teams to integrate these models into our products, contribute to research, and shape the future of AI technologies.

Responsibilities

• Lead an international team of engineers to develop and deliver cutting‑edge solutions to our top‑tier clients.
• Define technical direction for complex projects, ensuring high‑quality solutions.
• Manage projects from initiation to completion, developing comprehensive plans, timelines, resource allocation, and risk assessments.
• Identify and manage project risks, creating contingency plans to maintain momentum.
• Lead and motivate a diverse team, providing guidance and fostering a collaborative environment.
• Monitor project performance and take proactive measures to ensure high‑quality delivery.
• Develop documentation, monitor and report project status, and assess documentation effectiveness.
• Maintain clear communication with stakeholders, team members, and senior management.
• Coordinate cross‑project initiatives with other project managers and leaders.
• Understand customer tactical goals and participate in developing and implementing business solutions.
• Contribute to technology strategy, providing insights to clients and stakeholders.

Required Minimum Qualifications

• Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields with 5+ years of industry experience.
• 2+ years of successful project management experience leading engineering teams in a technology‑driven company.
• 3+ years of hands‑on experience with data science, generative AI, deep learning (e.g., computer vision, LLMs), or software engineering in an industrial, non‑academic environment.
• Proven experience designing and implementing ML or AI systems, including RAG and agentic AI solutions, deployed in cloud‑based production environments.
• Proven experience with LLM models, including fine‑tuning, alignment, and model compression techniques.
• Excellent command of Python, Docker, and Git.
• Experience with GitHub/Gitlab workflows and functionalities.
• Solid understanding of agile development methodologies and best practices.
• Excellent leadership skills with the ability to motivate and guide cross‑functional teams.
• Exceptional communication and interpersonal abilities to foster collaboration and maintain client relationships.
• Solid organizational and time‑management skills with a keen eye for detail.
• Perfect command of Spanish and English.

Preferred Qualifications

• Ph.D. in Artificial Intelligence, Computer Science, Physics, Engineering, or related fields with 5+ years of industry experience.
• Experience with deep learning model compression techniques and inference optimization engines (e.g., TensorRT, vLLM).
• Experience evaluating generative AI systems on real live data.

Perks & Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• Work visa sponsorship (if applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Language classes and discounted lunch options.
• High‑performance, collaborative environment operating at pace on cutting‑edge technologies.
• Career plan with opportunities to learn and teach.

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.

5 locations. +27 languages.