Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next generation of artificial intelligence powered by quantum computing. As a Quantum AI Research Scientist, you'll design and implement groundbreaking algorithms that solve previously unsolvable problems in cryptography, optimization, and machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your research and transform theoretical concepts into real-world applications.
We're seeking visionary minds who thrive at the intersection of quantum physics and artificial intelligence. You'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum neural networks, pushing the boundaries of computational intelligence. This role offers the rare opportunity to shape the technological landscape of 2026 and beyond.
Responsibilities
- Design quantum algorithms for machine learning applications with exponential speedup over classical systems
- Develop hybrid quantum-classical neural architectures for complex pattern recognition
- Lead experimental validation of quantum AI models using 1000+ qubit processors
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier journals and industry conferences
- Secure patents for novel quantum AI methodologies and frameworks
- Mentor junior researchers in quantum computing principles and AI integration
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning frameworks (PyTorch/TensorFlow) and algorithm optimization
- Published research in quantum machine learning or quantum information theory
- Strong mathematical foundation in linear algebra, probability, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate theoretical concepts into experimental prototypes