Job Description
Join Nexus Innovations at the forefront of technological evolution as we build the quantum computing infrastructure for 2026. We're seeking a visionary Quantum AI Architect to design hybrid quantum-classical systems that will redefine computational boundaries. This role combines cutting-edge research with practical implementation in our Palo Alto R&D lab.
As a key member of our Future Systems Division, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum algorithms. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements for top-tier talent shaping tomorrow's digital landscape.
Responsibilities
- Design scalable quantum neural networks for 2026-era applications
- Develop hybrid quantum-classical machine learning frameworks
- Lead cross-functional teams in implementing quantum-resistant cryptography
- Research topological qubit architectures for commercial viability
- Author patents for quantum optimization methodologies
- Mentor junior researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing or Physics with 3+ years industry experience
- Published research in Nature/Science journals on quantum AI
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Expertise in quantum error correction techniques
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Experience with superconducting qubit systems