Job Description
Join Nexus Futures at the forefront of technological evolution. We're pioneering quantum-AI fusion systems that will redefine computing by 2026. As our Quantum AI Research Lead, you'll architect the next generation of hybrid algorithms for climate modeling and autonomous systems. This role offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Lead cross-functional teams in developing quantum-AI hybrid algorithms
- Design fault-tolerant quantum circuits for machine learning applications
- Collaborate with MIT and Caltech on 2026 quantum computing roadmap
- Secure $5M+ in federal grants for quantum-AI research initiatives
- Publish breakthrough findings in Nature Physics and IEEE journals
Qualifications
- PhD in Quantum Computing or Machine Learning (10+ years experience)
- Published 15+ papers on quantum algorithms or AI optimization
- Expertise in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Proven track record securing NSF/DARPA grants
- Fluency in Python, C++, and quantum assembly languages