Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-integrated AI systems for 2026. We're seeking a visionary Quantum AI Architect to design next-generation neural networks that leverage quantum computing principles. This role sits at the intersection of theoretical physics and machine learning, where you'll architect hybrid quantum-classical systems capable of solving previously intractable problems in cryptography, optimization, and computational biology.
You'll collaborate with Nobel laureates, lead a team of quantum engineers, and shape the future of human-computer interaction. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimental quantum computing, including access to our 512-qubit annealer and photonic processing arrays.
Responsibilities
- Design and implement hybrid quantum-classical neural architectures for 2026-era applications
- Develop error-correction protocols for quantum machine learning models
- Lead cross-functional teams in prototyping quantum-entangled AI systems
- Translate theoretical quantum algorithms into scalable production frameworks
- Establish security protocols for quantum-resistant AI networks
- Publish research in top-tier quantum computing journals and conferences
- Mentor junior quantum engineers in cutting-edge computational paradigms
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in Nature/Science journals or equivalent
- Expertise in tensor networks and quantum simulation techniques
- Experience with superconducting qubit manipulation or photonic quantum systems
- Strong background in complex optimization and statistical modeling
- Deep understanding of quantum error correction and fault tolerance