Job Description
Join Nexus Futura Labs at the forefront of technological evolution as we pioneer the 2026 Quantum-AI convergence paradigm. We seek an elite Research Lead to architect the next generation of hybrid quantum-neural systems that will redefine computational boundaries. This role offers unprecedented influence in shaping humanity's technological trajectory through groundbreaking research and cross-disciplinary innovation.
Responsibilities
- Architect and execute quantum-AI integration frameworks for 2026-era applications
- Lead cross-functional teams in developing fault-tolerant quantum algorithms
- Establish industry-first benchmarks for quantum machine learning performance
- Collaborate with MIT and Caltech on DARPA-funded quantum supremacy projects
- Translate theoretical models into scalable production-ready systems
- Secure patents for novel quantum-AI hybrid methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 8+ years
- Published research in Nature/Science on quantum optimization or neural networks
- Expertise in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Proven track record leading quantum algorithm development teams
- Deep understanding of quantum error correction and decoherence mitigation
- Experience with high-performance computing architectures (HPC/TPU)