Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum supremacy with neural networks in our Austin R&D hub. Our interdisciplinary team tackles challenges from drug discovery to climate modeling using proprietary quantum processors. This role offers equity participation, unlimited R&D budget, and collaboration with Nobel laureates. Shape the future where quantum mechanics meets artificial intelligence.
Responsibilities
- Design and implement quantum-AI fusion algorithms for real-world applications
- Optimize quantum circuit performance using machine learning frameworks
- Develop error-correction protocols for hybrid quantum-classical systems
- Lead experimental validation on 1000+ qubit quantum processors
- Collaborate with MIT/Stanford research teams on open-source quantum libraries
- Author patents for quantum neural network architectures
- Mentor junior researchers in quantum machine learning techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS + 5y experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in Nature/Science journals on quantum algorithms
- Expertise in TensorFlow/PyTorch for quantum-classical integration
- Experience with superconducting qubit systems or photonic processors
- Strong background in topological quantum error correction
- Demonstrated ability to translate theoretical models to hardware