Job Description
Join the forefront of 2026's technological revolution as a Quantum AI Research Scientist at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this cutting-edge role, you'll develop novel quantum machine learning algorithms and hybrid quantum-classical systems that will redefine computing paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to push the boundaries of what's possible in quantum neural networks and quantum optimization. If you're passionate about transforming theoretical physics into practical solutions that will shape the next decade of technological advancement, this is your opportunity to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead research in quantum neural networks and quantum-enhanced optimization techniques
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Collaborate with quantum hardware teams to co-design scalable quantum processors
- Publish breakthrough research in top-tier quantum computing journals and conferences
- Mentor junior researchers and contribute to patent development in quantum AI
- Stay at the vanguard of quantum computing advancements through continuous learning
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum algorithms and quantum information theory
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python
- Strong background in machine learning and neural network architectures
- Published research in quantum computing or quantum machine learning
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to translate complex quantum concepts into practical solutions