Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll develop next-gen algorithms that fuse quantum computing with machine learning to solve previously impossible problems. Our collaborative, innovation-driven environment offers unparalleled resources to push the limits of what's computationally feasible.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Optimize quantum circuit architectures for AI workloads on hybrid quantum-classical systems
- Collaborate with cross-functional teams to deploy quantum-AI solutions in production environments
- Develop error mitigation strategies for quantum neural networks
- Lead research on quantum-enhanced deep learning models
- Publish findings in top-tier quantum computing and AI conferences
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (MS with exceptional experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Publication record in quantum machine learning or related fields
- Proficiency in high-performance computing environments