Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration solutions that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll develop hybrid systems merging quantum computing with advanced neural networks to solve previously impossible challenges in cryptography, materials science, and autonomous systems. Our Austin-based R&D hub offers state-of-the-art facilities and collaborative cross-disciplinary teams working on projects that will shape humanity's digital future.
Responsibilities
- Design and implement quantum neural network architectures for complex problem-solving
- Develop hybrid quantum-classical algorithms with 99.9% fidelity thresholds
- Optimize qubit stability in multi-node quantum processors using AI-driven error correction
- Create simulation environments for quantum-AI hybrid systems at scale
- Collaborate with materials science teams to design quantum-resistant encryption protocols
- Publish breakthrough research in top-tier quantum computing journals
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq) and quantum circuit design
- Proficiency in deep learning frameworks (TensorFlow/PyTorch) and classical AI optimization
- Published research in quantum machine learning or quantum algorithms
- Experience with cryogenic quantum systems and superconducting qubits
- Strong background in topological quantum computing and fault-tolerant architectures
- Ability to translate complex quantum phenomena into practical AI applications