Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the 2026 frontier. We're seeking a visionary Quantum AI Researcher to architect the next generation of hybrid quantum-computing intelligence. This isn't just researchâit's reality engineering. You'll develop autonomous quantum neural networks that transcend classical limitations, solving previously unsolvable problems in materials science, climate modeling, and cryptography.
In our state-of-the-art Austin facility, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into deployable systems. We offer unparalleled resourcesâincluding quantum annealers, photonic processors, and exascale supercomputersâwhile our equity-free research grants ensure your innovations remain yours to own. If you dream in algorithms and see possibility in uncertainty, this is where you belong.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging IBM Quantum and D-Wave systems
- Develop hybrid quantum-classical neural architectures for real-world deployment
- Lead cross-disciplinary projects in quantum cryptography and quantum-resistant AI
- Publish breakthrough research in Nature/Science journals and top-tier conferences
- Collaborate with hardware teams to co-design next-generation quantum processors
- Mentor junior researchers in quantum-computing best practices
- Secure patents for novel quantum AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent industry impact)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Q#)
- Expertise in quantum machine learning and quantum neural networks
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency with Python, TensorFlow, and quantum simulation frameworks
- Demonstrated ability to translate theory into scalable implementations
- Deep understanding of quantum error correction and fault tolerance