Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're seeking a Quantum AI Research Engineer to pioneer the intersection of quantum computing and artificial intelligence. Shape the future by developing cutting-edge algorithms that leverage quantum supremacy for real-world applications in cryptography, optimization, and machine learning.
Our San Francisco hub offers an unparalleled environment where Nobel laureates and industry innovators collaborate. You'll work with next-gen quantum hardware and access our $50M research lab, while contributing to projects that will redefine global technology standards.
Responsibilities
- Design and implement quantum machine learning algorithms for enterprise applications
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum circuits for error correction and scalability
- Collaborate with hardware teams to co-design quantum processors
- Publish breakthrough research in top-tier journals and conferences
- Lead cross-functional projects with AI and quantum research teams
- Secure patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of quantum computing research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published work in quantum information science or AI
- Experience with quantum hardware integration (IBM Quantum, Rigetti)
- Proficiency in Python/C++ and high-performance computing