ARQUIMEA is a Spanish cross-sector technology group specializing in deep tech, aerospace, and defense. The company develops high-performance products and services for demanding sectors, including satellite components, unmanned aerial vehicles (UAVs), and microelectronics. With a strong focus on R&D, ARQUIMEA operates globally, providing innovative solutions to international space agencies and industrial leaders.

Headquartered in Madrid with a major research and operations hub in Tenerife, the company offers a dynamic environment for international engineers and researchers. ARQUIMEA is particularly relevant for foreign professionals due to its involvement in high-profile European space projects and its diverse workforce. The company frequently recruits for specialized roles in ASIC design, software engineering, and aerospace systems, often supporting talent relocation to its various Spanish hubs.

Founded in 2005 in Madrid, ARQUIMEA began as a spin-off focused on shape memory alloys for space applications. It has since grown into a diversified technology group through organic growth and strategic acquisitions across the aerospace and biotech sectors.

Quantum Machine Learning Engineer

ARQUIMEA

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

ARQUIMEA is a technology company that operates globally and offers innovative solutions and products in highly demanding sectors.

Our sectors of activity are Aerospace, Defense and Security, Big Science, Biotechnology, and Fintech.

ARQUIMEA Research Center (ARC), part of ARQUIMEA , was born in 2019 with the goal of inventing the technologies of tomorrow. An environment of innovation and excellence at a European level, where senior and junior researchers from all over the world develop disruptive technologies and business models that will serve as a driver for medium and long-term socio-economic growth.

We are looking for a Quantum Machine Learning Engineer.

We are seeking a person passionate about artificial intelligence and quantum computing to join the ARC AI team. You will participate in research and development projects focused on the design of quantum and hybrid machine learning models to solve complex time series analysis and optimization problems.

Main functions:

Design, develop, and evaluate quantum and quantum-inspired machine learning models for time series analysis and optimization problems.
Stay up to date on the latest advances in quantum computing, quantum machine learning, and artificial intelligence techniques.
Design new quantum and hybrid methodologies applied to real-world prediction and optimization problems.
Prepare, process, and generate real and synthetic datasets for model training and evaluation.
Implement classical, quantum, and hybrid models using specialized development tools.
Configure training strategies and optimize hyperparameters to improve model performance.
Participate in applied research activities and technology transfer within the ARC innovation ecosystem.
Collaborate with multidisciplinary teams in the development of disruptive solutions based on artificial intelligence and quantum computing.

Knowledge, experience, and candidate profile:

Degree in Engineering, Physics, Mathematics, or related disciplines.
Master's degree in Engineering, Physics, Quantum Computing, Artificial Intelligence, or related areas.
3 years of experience in R&D activities related to machine learning, quantum technologies, or advanced physical systems.
Experience in the development, implementation, and evaluation of computational models and algorithms.
Experience in Quantum Machine Learning, quantum-inspired methods, or classical-quantum hybrid approaches will be valued.
Experience in programming with Python and machine learning frameworks such as PyTorch.
Knowledge of artificial intelligence, deep learning, and data or time series analysis.
Familiarity with quantum computing tools (Qiskit, PennyLane, or similar) and the fundamentals of quantum machine learning.

Think Big, Do the Job & Enjoy Life

At ARQUIMEA, we value diversity and inclusion. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, nationality, age, disability, or other factors protected by law. All candidates will be considered on an equal basis based on their skills and experience.

View original advert (Spanish)

ARQUIMEA, somos una empresa tecnológica que opera a nivel global y ofrece soluciones y productos innovadores en sectores muy exigentes.

Nuestros sectores de actividad son Aeroespacial, Defensa y Seguridad, Big Sciencie, Biotecnología y Fintech.

ARQUIMEA Research Center (ARC), parte de ARQUIMEA , nació en 2019 con el objetivo de inventar las tecnologías del mañana. Un entorno de innovación y excelencia a nivel europeo, en el que investigadores sénior y júnior de todo el mundo desarrollan tecnologías disruptivas y modelos de negocio que servirán como motor de crecimiento socioeconómico a medio y largo plazo.

Estamos buscando a un/a Quantum Machine Learning Engineer.

Buscamos una persona apasionada por la inteligencia artificial y la computación cuántica para incorporarse al equipo de IA de ARC. Participarás en proyectos de investigación y desarrollo enfocados en el diseño de modelos de aprendizaje automático cuánticos e híbridos para resolver problemas complejos de análisis de series temporales y optimización.

Funciones principales:

Diseñar, desarrollar y evaluar modelos de machine learning cuánticos y quantum-inspired para análisis de series temporales y problemas de optimización.
Mantenerse actualizado sobre los últimos avances en computación cuántica, quantum machine learning y técnicas de inteligencia artificial.
Diseñar nuevas metodologías cuánticas e híbridas aplicadas a problemas reales de predicción y optimización.
Preparar, procesar y generar conjuntos de datos reales y sintéticos para el entrenamiento y evaluación de modelos.
Implementar modelos clásicos, cuánticos e híbridos utilizando herramientas de desarrollo especializadas.
Configurar estrategias de entrenamiento y optimizar hiperparámetros para mejorar el rendimiento de los modelos.
Participar en actividades de investigación aplicada y transferencia tecnológica dentro del ecosistema de innovación de ARC.
Colaborar con equipos multidisciplinares en el desarrollo de soluciones disruptivas basadas en inteligencia artificial y computación cuántica.

Conocimientos, experiencia y perfil del candidato:

Grado en Ingeniería, Física, Matemáticas o disciplinas afines.
Máster en Ingeniería, Física, Computación Cuántica, Inteligencia Artificial o áreas relacionadas.
3 años de experiencia en en actividades de I+D relacionadas con machine learning, tecnologías cuánticas o sistemas físicos avanzados.
Experiencia en el desarrollo, implementación y evaluación de modelos computacionales y algoritmos.
Se valorará experiencia en Quantum Machine Learning, métodos quantum-inspired o enfoques híbridos clásico-cuánticos.
Experiencia en programación con Python y frameworks de machine learning como PyTorch.
Conocimientos de inteligencia artificial, deep learning y análisis de datos o series temporales.
Familiaridad con herramientas de computación cuántica (Qiskit, PennyLane o similares) y fundamentos de quantum machine learning.

Think Big, Do the Job & Enjoy Life

En ARQUIMEA valoramos la diversidad y la inclusión. No discriminamos por motivos de raza, color, religión, género, orientación sexual, identidad de género, nacionalidad, edad, discapacidad u otros factores protegidos por la ley. Todos los candidatos serán considerados en igualdad de condiciones en base a sus habilidades y experiencia.