Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer 2026's quantum AI revolution. We're seeking a visionary Quantum AI Architect to design next-generation systems that merge quantum computing with artificial intelligence to solve humanity's most complex challenges. In this role, you'll lead cross-disciplinary teams to develop scalable quantum neural networks, architect fault-tolerant quantum processors, and implement AI-driven optimization algorithms that redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco campus, equipped with cutting-edge quantum labs and AI supercomputing clusters. This isn't just a job—it's your chance to shape the technological landscape of the next decade.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Lead development of fault-tolerant quantum processors with 1000+ qubit capabilities
- Create hybrid quantum-classical machine learning frameworks for real-world deployment
- Collaborate with quantum hardware teams to optimize AI algorithms for emerging quantum processors
- Develop AI-driven quantum error correction protocols achieving 99.999% fidelity
- Lead research in quantum supremacy applications for drug discovery and climate modeling
- Mentor a team of quantum AI specialists and publish breakthrough research in top-tier journals
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record in developing scalable quantum algorithms and neural networks
- Deep understanding of quantum hardware architectures and qubit technologies
- Strong background in high-performance computing and distributed systems
- Published research in quantum AI or quantum information science
- Experience leading cross-functional technical teams and managing R&D projects
- Proficiency in Python, TensorFlow/PyTorch, and quantum assembly languages