Job Description
Join Nexus Futura Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-gen computational paradigms that will redefine global technology landscapes. As our Quantum AI Research Lead, you'll architect breakthrough systems merging quantum computing with advanced machine learning, solving humanity's most complex challenges.
This role demands visionary thinking and hands-on expertise to lead cross-disciplinary teams in developing scalable quantum neural networks, error-corrected AI models, and real-time quantum-entangled data processing systems. You'll directly influence our 2026 roadmap for autonomous quantum computing platforms.
Responsibilities
- Architect and implement hybrid quantum-AI algorithms for exponential computational acceleration
- Lead R&D in quantum machine learning frameworks for 2026-era applications
- Oversee development of quantum-resistant security protocols for next-gen AI systems
- Collaborate with MIT/Caltech partners on quantum-neural network integration
- Drive patent development for proprietary quantum-AI optimization methodologies
- Manage $2M+ R&D budget for quantum-AI infrastructure and talent acquisition
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 8+ years industry experience
- Published research in Nature/Science on quantum machine learning or quantum algorithms
- Expertise in Qiskit, Cirq, or quantum circuit design with Python/C++
- Proven track record leading quantum-AI projects with Fortune 500 partners
- Deep understanding of NISQ-era limitations and fault-tolerant computing roadmaps
- Security clearance eligibility for DoD quantum-AI initiatives