Job Description
Join the quantum frontier at Nexus Quantum Labs, where we're architecting the computational landscape of 2026. As a Quantum AI Research Scientist, you'll pioneer the convergence of quantum computing and artificial intelligence to solve previously unsolvable challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources to develop next-generation quantum neural networks and hybrid AI systems that will redefine industries from healthcare to climate modeling.
We're seeking visionary minds who thrive at the intersection of quantum mechanics and machine learning. You'll collaborate with Nobel laureates and industry pioneers in an environment that values audacious thinking and rigorous experimentation. If you're ready to shape the future of intelligent systems, apply now and help us unlock the quantum potential of tomorrow.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical machine learning frameworks
- Lead research in quantum neural networks and quantum-enhanced NLP
- Collaborate on quantum hardware-software co-design initiatives
- Translate theoretical quantum computing concepts into practical AI solutions
- Publish breakthrough research in top-tier scientific journals
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum algorithms and quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in AI/ML frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Track record of peer-reviewed publications in quantum/AI
- Deep understanding of quantum error correction and fault tolerance