Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for the 2026 horizon. We seek a visionary Quantum AI Research Lead to architect next-generation intelligence systems that will redefine human-machine collaboration. This role combines quantum computing principles with advanced machine learning to solve complex global challenges in sustainable energy, autonomous systems, and personalized medicine.
You'll lead a cross-disciplinary team of physicists, data scientists, and engineers while publishing groundbreaking research in top-tier journals. Our Austin campus features state-of-the-art quantum labs and collaborative innovation spaces designed for breakthrough thinking. This is your opportunity to shape the technologies that will define the next decade.
Responsibilities
- Architect quantum-computing frameworks for AI model acceleration and optimization
- Lead research initiatives in quantum machine learning algorithms for predictive analytics
- Collaborate with hardware engineers to develop quantum-classical hybrid computing systems
- Drive open-source contributions to quantum AI libraries and frameworks
- Mentor interdisciplinary teams in quantum computing principles and AI ethics
- Secure federal grants and industry partnerships for 2026-era technology development
- Publish peer-reviewed research in Nature/Science journals and top AI conferences
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning with 5+ years research experience
- Expertise in quantum algorithms (QAOA, VQE) and quantum error correction techniques
- Proven track record publishing in Nature, Science, or NeurIPS/ICML
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Experience leading R&D teams with $1M+ research budgets
- Deep understanding of quantum hardware constraints (superconducting, photonic, trapped ions)
- Strong background in ethical AI development and responsible innovation frameworks