Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next generation of AI-powered quantum systems. We're seeking a visionary Quantum AI Systems Architect to design and implement revolutionary solutions that will redefine computational boundaries by 2026. This role offers unparalleled opportunities to shape the future of human-machine collaboration in a dynamic, innovation-driven environment.
As a key member of our elite R&D team, you'll work with Nobel Prize-winning physicists and AI pioneers to develop hybrid quantum-classical architectures. Our state-of-the-art facility in San Francisco provides access to quantum processors with 1000+ qubits, alongside advanced neuromorphic computing resources. We offer comprehensive benefits including equity, unlimited PTO, and tuition reimbursement for continued learning in emerging technologies.
Responsibilities
- Design scalable quantum-AI integration frameworks for enterprise applications
- Lead development of error-corrected quantum neural networks
- Architect hybrid computing systems leveraging quantum advantage for complex optimization problems
- Collaborate with hardware teams to co-design quantum processors with AI acceleration
- Develop quantum-safe encryption protocols for next-gen data security
- Mentor cross-functional teams in quantum algorithm implementation
- Publish breakthrough research in top-tier journals and conferences
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
- Proven track record of developing production-level AI/ML systems
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in computational complexity theory and quantum algorithms
- Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum, Google Quantum AI)
- Published research in quantum machine learning or quantum information theory