Job Description
Shape the future of artificial intelligence by pioneering quantum-AI hybrid systems at Nexus Labs. We're seeking visionary researchers to develop next-generation algorithms that leverage quantum computing's exponential potential. Join our interdisciplinary team in a state-of-the-art lab where theoretical physics meets machine learning innovation.
As a key contributor, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges—from drug discovery to climate modeling. This role offers unparalleled resources, flexible hybrid work arrangements, and equity participation in our 2026 technology roadmap.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world applications
- Lead experimental validation of quantum machine learning models on hardware platforms
- Develop novel error-correction protocols for quantum neural networks
- Author peer-reviewed publications and patent disclosures in quantum computing
- Mentor junior researchers and cross-functional engineering teams
- Secure federal and private funding for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or equivalent experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong Python/C++ skills with deep learning framework expertise
- Proven track record of translating theoretical concepts into practical solutions
- Excellent written communication for technical documentation and grant proposals