Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries. Our cutting-edge lab features state-of-the-art quantum processors and collaborative research environments where your work will directly impact fields from climate modeling to drug discovery.
We offer competitive compensation, unlimited R&D budget, and flexible work arrangements designed for peak innovation. If you're ready to shape the future of technology, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop novel error-correction techniques for fault-tolerant quantum computing systems
- Lead cross-functional research initiatives in quantum neural networks and hybrid quantum-classical models
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish breakthrough research in leading scientific journals and industry conferences
- Secure and manage research grants from government and private sector partners
- Mentor junior researchers and foster a culture of scientific excellence
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum algorithms, quantum information theory, and machine learning frameworks
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and classical AI toolkits
- Track record of peer-reviewed publications or open-source contributions in quantum computing
- Strong mathematical foundations in linear algebra, probability, and computational complexity
- Experience with high-performance computing and distributed systems
- Ability to translate theoretical concepts into practical implementations
- Passion for solving grand-challenge problems through interdisciplinary innovation