Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence. We seek a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that redefine computational boundaries. Work with cutting-edge quantum hardware and machine learning frameworks to solve previously impossible problems in cryptography, optimization, and molecular modeling. Our state-of-the-art lab offers unparalleled resources for experimentation, while our collaborative culture fosters innovation across interdisciplinary teams.
Why Nexus Quantum Solutions?
- Access to next-gen quantum processors and proprietary AI platforms
- Competitive equity package and comprehensive benefits
- Opportunity to publish in top-tier journals and speak at global conferences
- Flexible hybrid work model with quarterly innovation retreats
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Collaborate with hardware engineers to optimize quantum circuit performance
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop scalable solutions for quantum-enhanced AI in finance, healthcare, and logistics
- Mentor junior researchers and publish findings in peer-reviewed publications
- Secure intellectual property through patent applications
- Present research findings to industry stakeholders and academic partners
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years of industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and algorithm optimization
- Proven track record of publishing in quantum/AI conferences (QIP, NeurIPS)
- Experience with quantum hardware integration and error mitigation techniques
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to lead complex research projects from conception to deployment