Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough systems that will redefine computing by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art labs, where you'll develop hybrid quantum neural networks and fault-tolerant algorithms.
Our team operates at the intersection of quantum mechanics and artificial intelligence, solving challenges in cryptography, materials science, and autonomous systems. We offer unparalleled resourcesâincluding 128-qubit quantum processors and exascale GPU clustersâalongside a culture that values intellectual curiosity and bold innovation. This role includes competitive equity, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.
Responsibilities
- Design and implement hybrid quantum-AI architectures for next-gen computational systems
- Lead research in fault-tolerant quantum algorithms and quantum machine learning models
- Collaborate with hardware teams to optimize quantum-classical interfaces
- Publish findings in top-tier journals (Nature, Science, IEEE) and present at major conferences
- Secure federal grants and corporate partnerships for advanced research initiatives
- Mentor junior researchers and drive cross-functional innovation sprints
- Develop patentable solutions in quantum cryptography and autonomous decision systems
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years research experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published work in quantum machine learning or fault-tolerant quantum computing
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to secure research funding (>1M USD in grants preferred)
- Track record of translating theoretical concepts into practical implementations