Job Description
Join Nexus Labs at the forefront of quantum-AI convergence. We're seeking visionary Quantum AI Research Scientists to architect next-generation algorithms that redefine computational boundaries. Collaborate in our state-of-the-art Austin lab to develop hybrid quantum-neural systems solving previously intractable problems in cryptography, optimization, and machine learning. This role offers unparalleled access to cutting-edge quantum hardware and a team of Nobel Prize-winning mentors.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop novel quantum neural network architectures leveraging fault-tolerant quantum processors
- Lead cross-functional projects integrating quantum solutions with classical AI frameworks
- Author breakthrough research papers for top-tier journals and conferences
- Optimize quantum circuits for specific hardware constraints (superconducting/ion trap)
- Collaborate with hardware engineers to co-design quantum-AI hybrid systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
- Published research in quantum machine learning or quantum information theory
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong foundation in linear algebra, quantum mechanics, and deep learning
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations
- Track record of securing research grants or industry partnerships