Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer the fusion of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries. Our interdisciplinary team operates at the intersection of physics, machine learning, and next-gen computing architectures, working on projects that will shape humanity's digital future. You'll collaborate with Nobel laureates, access cutting-edge quantum hardware, and publish research in leading scientific journals while contributing to patents that will power the next decade of innovation.
Responsibilities
- Design and implement quantum machine learning models for 2026-era computational challenges
- Develop novel quantum algorithms to accelerate AI training and inference processes
- Lead experimental research on quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to optimize quantum circuits for specific AI applications
- Translate theoretical quantum AI concepts into practical implementations using industry-standard frameworks
- Author high-impact research publications and patents in quantum computing and AI convergence
- Mentor junior researchers and contribute to lab's technical roadmap for 2026-2030
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep expertise in quantum algorithms and quantum machine learning methodologies
- Proven track record of publishing in top-tier journals/conferences (Nature, Science, ICML, etc.)
- Strong background in AI/ML frameworks (PyTorch, TensorFlow) and classical optimization
- Familiarity with quantum hardware architectures from leading providers (IBM, Rigetti, IonQ)
- Exceptional problem-solving skills and ability to work in fast-paced research environments