Job Description
Shape the future at Nexus Dynamics, where quantum computing meets artificial intelligence. We're seeking visionary Quantum AI Research Scientists to pioneer breakthrough algorithms that will revolutionize industries by 2026. Join our elite team at the intersection of quantum mechanics and machine learning, working with next-generation hardware to solve previously unsolvable problems.
Our Austin R&D hub offers unparalleled resources including access to quantum annealers, superconducting processors, and a collaborative ecosystem of Nobel laureates and Turing Award winners. You'll develop hybrid quantum-classical models, optimize quantum neural networks, and contribute to patents that will define the next decade of technological advancement.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware teams to co-design quantum-AI systems
- Lead research on quantum-enhanced machine learning frameworks
- Author peer-reviewed publications and contribute to open-source quantum libraries
- Mentor cross-functional teams on quantum computing principles
- Secure research partnerships with quantum hardware providers
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- Expertise in quantum circuit design and quantum algorithms
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum simulation platforms (QASM, Qiskit Aer)
- Publication record in top-tier quantum/AI journals (Nature, Science, IEEE)
- Deep understanding of quantum error correction techniques
- Track record of translating research into commercial applications