Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of Quantum-AI hybrid systems. We're seeking visionary Quantum AI Systems Architects to design and implement solutions that will redefine computing paradigms by 2026. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility, where cutting-edge research meets real-world application. This role offers unparalleled opportunities to shape the future of quantum machine learning, cryptography, and computational modeling while working with resources typically reserved for national research institutions.
Responsibilities
- Architect quantum-AI hybrid systems leveraging Qiskit and TensorFlow Quantum frameworks
- Design fault-tolerant quantum circuits for machine learning applications
- Develop error mitigation strategies for NISQ-era quantum processors
- Lead cross-functional teams in prototyping quantum neural networks
- Research novel quantum algorithms for 2026-era computational challenges
- Optimize quantum-classical interfaces for enterprise-scale deployment
- Collaborate with hardware teams on quantum chip co-design
- Author peer-reviewed publications on quantum-AI convergence
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum systems engineering
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Demonstrated experience with quantum error correction techniques
- Prior research publications in quantum computing or quantum machine learning
- Familiarity with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra and quantum information theory