Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We seek a visionary 2026 Quantum AI Architect to design and deploy breakthrough solutions that will redefine computing paradigms. This role offers unparalleled opportunities to work with Nobel Prize-winning researchers and shape the digital landscape of tomorrow.
Our state-of-the-art facility in San Francisco's tech hub provides an environment where innovation thrives. You'll collaborate with elite teams to develop quantum-resistant AI algorithms, optimize neural networks for quantum hardware, and create scalable frameworks for post-quantum cryptography. The ideal candidate will drive our mission to solve humanity's most complex challenges through cutting-edge technology.
Responsibilities
- Design and implement quantum-AI hybrid architectures for enterprise-scale applications
- Lead research initiatives in quantum machine learning and neural network optimization
- Develop post-quantum cryptographic protocols for next-gen security systems
- Mentor cross-functional teams in quantum computing principles and AI integration
- Drive innovation in quantum-resistant AI algorithms and optimization techniques
- Collaborate with hardware engineers to design quantum-compatible neural networks
- Present breakthrough findings at global tech symposiums and industry conferences
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 developing post-quantum cryptographic systems
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and neural network optimization
- Published research in top-tier journals or conference proceedings (Nature, IEEE, etc.)
- Proficiency with high-performance computing environments and distributed quantum systems
- Experience leading technical teams and managing complex R&D projects
- Strong background in Python, TensorFlow/PyTorch, and quantum circuit design