Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary Quantum AI Research Lead to pioneer breakthroughs that will define 2026 and beyond. This role combines cutting-edge quantum computing with advanced artificial intelligence to solve humanity's most complex challenges. You'll lead a multidisciplinary team in developing next-gen algorithms, optimizing quantum neural networks, and creating scalable solutions for industries ranging from healthcare to climate modeling.
Why Nexus Future Labs? Our state-of-the-art quantum computing center features 512-qubit processors and AI-accelerated supercomputing. We offer unparalleled resources, collaborative innovation hubs, and a culture that embraces intellectual curiosity. Your work will directly impact emerging technologies shaping the next decade.
Responsibilities
- Architect and implement hybrid quantum-classical AI systems for 2026-era applications
- Lead research in quantum machine learning algorithms and neural network optimization
- Collaborate with biotech/energy teams to deploy quantum solutions for protein folding and climate modeling
- Develop quantum-resistant cybersecurity frameworks for next-gen infrastructure
- Mentor interdisciplinary teams in quantum AI methodologies and ethical implementation
- Secure patents and publish breakthrough research in top-tier journals
- Partner with hardware teams to co-design quantum processors optimized for AI workloads
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of publishing in Nature/Science or equivalent venues
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience leading cross-functional technical teams of 10+ researchers
- Proficiency in Python, TensorFlow/PyTorch, and quantum simulation tools
- Strong background in theoretical physics and computational complexity
- Demonstrated ability to secure multi-million dollar research funding