Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence, seeking a visionary Quantum AI Research Scientist to architect the next generation of computational paradigms. In this role, you'll design groundbreaking quantum machine learning algorithms and hybrid quantum-classical frameworks that will redefine industry standards.
Our state-of-the-art San Francisco facility offers unparalleled resources for experimentation, including access to 512-qubit quantum processors and petascale classical computing clusters. You'll collaborate with Nobel laureates and Turing Award winners in an environment where theoretical physics meets practical application.
This isn't just a job—it's your chance to shape humanity's technological future. If you thrive at the intersection of quantum mechanics, deep learning, and computational complexity, we invite you to lead the charge into tomorrow's breakthroughs.
Responsibilities
- Develop novel quantum neural network architectures for optimization and pattern recognition
- Design fault-tolerant quantum algorithms for real-time data analysis
- Create hybrid quantum-classical frameworks for enterprise-scale AI applications
- Lead research initiatives in quantum-enhanced reinforcement learning
- Collaborate with hardware teams to co-design quantum processors
- Author peer-reviewed publications and contribute to open-source quantum AI libraries
- Mentor interdisciplinary teams of physicists and machine learning engineers
Qualifications
- PhD in Quantum Computing, AI, Theoretical Physics, or related field
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Publication record in top-tier quantum/AI conferences (NeurIPS, QIP)
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations