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AIEquity-BasedFeatured
AI Research Engineer – Hybrid AI–Quantum Systems
Remote • EuropePosted February 1, 2026
About this role
SoftQuantus integrates AI-driven diagnostics with quantum systems. Join us to build the intelligent layer that optimizes quantum workloads and predicts hardware behavior.
Responsibilities
- Develop AI models for noise prediction and characterization
- Build anomaly detection pipelines for quantum systems
- Integrate ML models with quantum execution logs
- Optimize hybrid classical-quantum workflows
- Research novel approaches to quantum-AI integration
Requirements
- Strong ML background with practical experience
- Experience with PyTorch or TensorFlow
- Knowledge of quantum computing fundamentals
- Python expertise with data processing skills
- Understanding of time-series prediction
Nice to Have
- ○Publications in ML or quantum computing
- ○Experience with reinforcement learning
- ○Knowledge of quantum error mitigation
- ○Background in physics or related field
Skills & Keywords
AIMachine LearningPyTorchQuantumResearch
Compensation
TypeEquity-Based
Cash component after funding
Long-term strategic position with cash retainer after funding round
Interested?
Apply now and join our team building the future of quantum computing.
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