Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. This role offers a rare opportunity to shape the future by designing revolutionary architectures that merge quantum computing with artificial intelligence. Our multidisciplinary team operates at the intersection of physics, computer science, and machine learning in a state-of-the-art facility overlooking the Bay Area's innovation landscape.
Responsibilities
- Design and implement quantum-AI integration frameworks for next-gen computational systems
- Lead R&D initiatives in quantum machine learning algorithms and error correction protocols
- Collaborate with cross-functional teams to develop scalable quantum neural networks
- Architect hybrid quantum-classical systems for enterprise-level applications
- Publish breakthrough research in peer-reviewed quantum computing journals
- Mentor junior researchers in quantum programming and AI optimization techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum programming experience (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Proficiency in quantum circuit design and quantum error mitigation
- Strong background in linear algebra, probability theory, and quantum mechanics