Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries. Our interdisciplinary team operates in a state-of-the-art facility in San Francisco's innovation corridor, collaborating with Nobel laureates and industry pioneers. This role offers unparalleled opportunities to publish in top-tier journals and shape the future of human-machine symbiosis.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional R&D initiatives in quantum neural networks
- Develop novel error-correction protocols for quantum AI systems
- Collaborate with hardware teams to optimize quantum-ML hybrid architectures
- Translate theoretical research into scalable production-ready solutions
- Secure research grants and publish in Nature/Science journals
- Mentor junior researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning
- 3+ years experience in quantum algorithm development
- Expertise in Python, Qiskit, and quantum circuit optimization
- Publication record in quantum machine learning research
- Deep understanding of quantum entanglement and superposition principles
- Experience with NISQ-era hardware constraints and workarounds
- Strong background in linear algebra and probability theory