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.”
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.
We are seeking a highly motivated Pre-Sales Engineer to join our team. The ideal candidate will bridge technical expertise with strong communication skills, supporting the sales process by designing solutions, delivering demos, and advising customers on technical requirements. Collaborate with sales, product and engineering team teams to understand customer requirements and propose tailored technical solutions.
Work with product and engineering teams to align customer needs with product capabilities.
Stay up to date with emerging technologies in AI, machine learning, and cloud infrastructure.
Traveling: Must be available to travel as needed for meetings, conferences, and project requirements.
Junior: 1-2 years of experience in software engineering with focus on machine learning and data science.
Mid: 2+ years of experience in software engineering with focus on machine learning and data science.
Strong background in AI/ML, data science, or computer engineering, with hands-on experience in machine learning models (e.g., Proficiency in Python, with exposure to ML frameworks such as PyTorch or TensorFlow.
Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
Experience in computer vision or NLP projects.
Prior exposure to healthcare, finance, or enterprise data systems.
Contributions to research papers, hackathons, or open-source projects.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.