Job Description
Shape the future of technology as a Quantum AI Systems Architect at Nexus Quantum Labs. We're pioneering the next generation of hybrid quantum-neural systems that will redefine computing by 2026. Join our elite team of visionaries in designing scalable quantum architectures integrated with advanced machine learning frameworks. You'll lead groundbreaking research in quantum error correction, develop novel optimization algorithms, and collaborate with Nobel laureates to solve humanity's most complex challenges.
Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors, exascale computing clusters, and dedicated AI research labs. We provide comprehensive benefits including equity, relocation assistance, and continuous learning stipends for emerging technologies.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for AI workloads
- Develop hybrid quantum-classical machine learning models for 2026-era applications
- Lead research in quantum error correction and decoherence mitigation
- Create optimization algorithms leveraging quantum advantage for real-world problems
- Collaborate with hardware teams to define quantum processor specifications
- Mentor junior researchers on quantum-computing best practices
- Publish findings in leading quantum/AI journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in quantum algorithms and complexity theory
- Strong background in machine learning and neural networks
- Proficiency in Python, C++, and high-performance computing
- Demonstrated research output in peer-reviewed publications
- Experience with quantum hardware integration (IBM Quantum, Rigetti, etc.)
- Ability to communicate complex quantum concepts to diverse stakeholders