Job Description
Join Nexus Quantum Labs at the frontier of 2026 technology where quantum computing meets artificial intelligence. We're pioneering next-gen systems that will redefine computational boundaries. As a Quantum AI Systems Architect, you'll architect hybrid quantum-classical frameworks, optimize neural networks for quantum processors, and lead the development of fault-tolerant quantum AI solutions. Our Austin R&D center features cutting-edge quantum hardware and collaborative innovation spaces where you'll work with Nobel Prize-winning physicists and AI pioneers.
We offer comprehensive benefits including equity in pre-IPO stock, flexible hybrid work, and unlimited learning stipends. Shape the future of human-machine intelligence while contributing to breakthroughs in drug discovery, climate modeling, and materials science.
Responsibilities
- Design scalable quantum AI architectures integrating superconducting qubits and photonic processors
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional teams of quantum physicists and machine learning engineers
- Implement hybrid quantum-classical algorithms for optimization problems
- Research and implement quantum machine learning frameworks in Qiskit and Cirq
- Conduct performance benchmarking against classical supercomputers
- Secure patents for novel quantum AI methodologies
- Mentor junior researchers through our quantum computing fellowship program
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum circuit optimization and quantum error correction
- Published research in Nature/Science journals on quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Q#, Quil)
- Deep understanding of tensor networks and variational quantum algorithms
- Experience with high-performance computing architectures (CUDA, MPI)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Track record of leading quantum computing projects with measurable impact