Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological frontier. We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-neural systems. In this role, you'll develop revolutionary algorithms that transcend classical computing limitations, working with our Nobel Prize-winning team to solve previously unsolvable problems in cryptography, drug discovery, and climate modeling.
You'll operate in our state-of-the-art quantum lab, collaborating with MIT and NASA researchers to prototype and deploy quantum machine learning models. We offer unparalleled resources including 256-qubit processors and exclusive access to global quantum networks. Your innovations will directly impact Fortune 500 partners in biotech, aerospace, and finance.
Responsibilities
- Design and implement quantum algorithms for AI optimization and neural network acceleration
- Develop hybrid quantum-classical computing frameworks for enterprise applications
- Lead cross-functional R&D projects with academic and industrial partners
- Author breakthrough publications in quantum machine learning and cryptography
- Optimize quantum circuits for error correction and scalability
- Translate theoretical quantum models into practical software solutions
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years in quantum algorithm development with 50+ qubit systems
- Expertise in Python, Cirq, and quantum machine learning frameworks
- Published research in Nature/Science or top-tier quantum journals
- Proficiency in quantum hardware platforms (IBM, Rigetti, D-Wave)
- Strong background in tensor networks and quantum error correction
- Experience securing DoD or DARPA quantum research grants