Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI convergence. We're pioneering next-generation computational paradigms that will redefine humanity's technological trajectory. As a Quantum AI Researcher, you'll architect breakthrough systems at our state-of-the-art San Francisco campus.
Our multidisciplinary team operates at the intersection of quantum computing, machine learning, and theoretical physics. We offer unparalleled resources, collaborative freedom, and the opportunity to shape the technological landscape of the next decade.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computing architectures
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Collaborate with Nobel Prize-winning physicists on quantum error correction protocols
- Develop patent-pending methodologies for quantum-secure AI frameworks
- Mentor cross-functional teams in quantum computational theory
- Publish findings in Nature/Science journals and present at global tech conferences
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent research experience)
- 5+ years in quantum algorithm development or high-performance AI research
- Expertise in Qiskit, Cirq, or similar quantum computing frameworks
- Published work in top-tier AI/quantum journals (Nature, IEEE, etc.)
- Proficiency in Python, TensorFlow, and quantum circuit optimization
- Demonstrated ability to translate complex theoretical concepts into practical implementations
- Experience with large-scale distributed computing systems