Job Description
Shape the future of artificial intelligence with quantum supremacy. Nexus Quantum Dynamics is seeking a pioneering Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and machine learning. Join our elite team at the forefront of computational revolution, working in state-of-the-art labs with access to cutting-edge quantum processors. This role offers unparalleled opportunities to publish groundbreaking research and contribute to technologies that will redefine industries by 2026.
We offer competitive equity packages, unlimited R&D budget, and flexible remote work options with quarterly in-person innovation sprints in our San Francisco headquarters. Collaborate with Nobel laureates and industry disruptors while advancing toward quantum advantage in AI optimization.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for enterprise-scale applications
- Develop novel quantum algorithms for optimization problems in finance, logistics, and drug discovery
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning architectures
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Author peer-reviewed publications and white papers advancing quantum AI methodologies
- Mentor junior researchers and present findings at international conferences
- Secure patents for proprietary quantum AI techniques and intellectual property
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum circuit optimization
- Proficiency in Python/C++ with quantum frameworks (Qiskit, Cirq, PennyLane) and ML libraries (TensorFlow Quantum, PyTorch)
- Demonstrated track record of publications in Nature/Science journals or top-tier conferences
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in linear algebra, probability theory, and computational complexity
- Preferred: Prior work on quantum error correction or fault-tolerant computing systems