Job Description
Join Nexus Quantum Dynamics at the frontier of technological evolution. We're seeking a visionary 2026 Quantum AI Researcher to architect the next generation of hybrid quantum-AI systems. This role sits at the intersection of quantum computing, artificial intelligence, and predictive modeling, where you'll pioneer solutions that will redefine computational capabilities for the coming decade. Our Austin hub offers state-of-the-art laboratories and a collaborative environment where breakthroughs happen daily.
Responsibilities
- Lead R&D initiatives in quantum machine learning algorithms for 2026-era applications
- Design and implement error-corrected quantum circuits for AI acceleration
- Develop predictive models using quantum neural networks for complex system optimization
- Collaborate with hardware engineers to prototype quantum-AI hybrid systems
- Author groundbreaking research papers for top-tier journals and conferences
- Mentor a team of quantum computing specialists and AI researchers
- Secure federal and private funding for cutting-edge quantum-AI projects
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Cirq)
- Published research in quantum computing or AI (NeurIPS, QIP, or Nature/Science)
- Proficiency in quantum circuit design and error correction methodologies
- Strong background in Python, TensorFlow/PyTorch, and quantum simulators
- Experience securing SBIR grants or similar funding mechanisms
- Proven ability to translate theoretical concepts into practical implementations