Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. We seek a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin research facility, developing scalable quantum machine learning frameworks for real-world applications in medicine, logistics, and climate modeling. Enjoy competitive equity packages, flexible work arrangements, and access to our $500M innovation fund.
Responsibilities
- Design and implement quantum-enhanced neural networks for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals (Nature, Science)
- Develop patentable algorithms for quantum error correction and optimization
- Mentor PhD candidates in quantum machine learning initiatives
- Collaborate with hardware teams to optimize quantum processor compatibility
- Present findings at global tech summits including 2026 World Tech Expo
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (2020-2026)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Published research in quantum-AI convergence (arXiv:2205.xxxx)
- Expertise in NISQ-era error mitigation techniques
- Strong background in tensor networks and quantum circuit optimization
- Experience with high-performance computing clusters (HPC)
- Fluency in Python/C++ and quantum assembly languages