Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs in quantum machine learning and computational intelligence. Our multidisciplinary team operates at the intersection of quantum physics, artificial intelligence, and next-gen computing paradigms. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, developing algorithms that will redefine technological capabilities for the next decade.
This role offers unparalleled resources, flexible research parameters, and the opportunity to shape humanity's quantum-powered future. We provide competitive equity packages, unlimited R&D budgets, and access to industry-leading quantum hardware.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead cross-functional research initiatives in quantum neural networks and quantum-resistant cryptography
- Develop theoretical frameworks for quantum-AI hybrid computing systems
- Collaborate with hardware teams to optimize quantum algorithm performance on proprietary quantum processors
- Publish breakthrough research in top-tier journals and present at global tech conferences
- Secure external funding through NSF grants and industry partnerships
- Mentor PhD researchers and guide quantum AI innovation roadmap
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years post-doctoral research
- Published work in Nature/Science or equivalent quantum computing journals
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in AI/ML frameworks (PyTorch, TensorFlow) with quantum integration experience
- Demonstrated ability to secure research funding ($500K+ in grants)
- Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Deep understanding of quantum supremacy challenges and NISQ-era solutions