Job Description
Join the forefront of technological evolution at Nexus Future Labs as we architect the quantum-AI convergence of 2026. We're seeking a visionary Quantum AI Research Lead to pioneer next-generation computational paradigms that will redefine industries. This role offers unparalleled autonomy to incubate breakthrough technologies in our Austin innovation hub, collaborating with Nobel laureates and industry disruptors.
You'll lead a multidisciplinary team developing hybrid quantum-neural systems for real-world applications in cryptography, climate modeling, and personalized medicine. Our lab operates at the intersection of theoretical physics and machine learning, with access to cutting-edge quantum hardware and proprietary AI frameworks.
Responsibilities
- Architect and execute quantum-AI research roadmap targeting 2026 computational breakthroughs
- Lead cross-functional teams in developing hybrid quantum-neural network architectures
- Secure $5M+ in federal and private research grants for frontier computing initiatives
- Translate theoretical quantum algorithms into production-ready AI frameworks
- Pioneer ethical frameworks for quantum-AI deployment in regulated industries
- Publish 3+ peer-reviewed papers annually in Nature/Science journals
- Collaborate with NASA, IBM Research, and MIT on quantum supremacy projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (postdoc preferred)
- 5+ years experience in quantum algorithm development or AI research leadership
- Published research in quantum machine learning or top-tier AI conferences
- Proficiency with Qiskit, Cirq, or equivalent quantum programming frameworks
- Demonstrated success in securing federal research grants (NSF, DARPA)
- Expertise in tensor networks and quantum error correction protocols
- Strong background in ethical AI governance and responsible innovation
- Experience mentoring PhD-level researchers in technical domains