Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer next-generation quantum-AI hybrid systems. We're seeking visionary Quantum AI Systems Architects to design and implement breakthrough solutions that will redefine computing paradigms. This role offers unparalleled opportunities to shape the future of technology while working with Nobel Prize-winning researchers and cutting-edge quantum hardware.
Our state-of-the-art facility in San Francisco provides an ecosystem where theoretical physics meets machine learning innovation. You'll collaborate with interdisciplinary teams to solve humanity's most complex challenges—from climate modeling to drug discovery. We offer competitive compensation, equity packages, and flexible work arrangements designed for optimal innovation.
Responsibilities
- Architect scalable quantum-AI integration frameworks for enterprise applications
- Design error-corrected quantum circuits optimized for machine learning workloads
- Lead cross-functional teams in developing hybrid quantum-classical computing solutions
- Implement fault-tolerant quantum algorithms on next-generation hardware platforms
- Develop real-time quantum neural network optimization protocols
- Conduct advanced simulations of quantum machine learning models at scale
- Author technical white papers and patent innovations in quantum-AI convergence
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science (MS with 5+ years experience considered)
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency in Python, Qiskit, and quantum simulation software
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum computing or AI (IEEE, Nature, or equivalent)
- Experience with distributed computing architectures and high-performance systems
- Demonstrated ability to translate complex theoretical concepts into practical implementations