Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI integration for 2026's digital landscape. We seek a visionary Quantum AI Research Engineer to architect next-generation computational systems that will redefine industries. Collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where your work will directly shape humanity's technological trajectory.
What You'll Achieve: Design fault-tolerant quantum algorithms, develop hybrid AI-quantum frameworks, and publish breakthrough research in top-tier journals. Your innovations will power our proprietary '2026 Quantum Neural Network' platform.
Responsibilities
- Architect and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing quantum-AI hybrid computational systems
- Optimize quantum circuit performance for enterprise-scale deployments
- Author peer-reviewed research papers and technical whitepapers
- Collaborate with hardware teams to design quantum-compatible AI architectures
- Develop patentable quantum-AI integration methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in advanced machine learning architectures (transformers, GNNs, reinforcement learning)
- Published research in quantum machine learning or top-tier AI conferences
- Strong proficiency in Python, C++, and high-performance computing
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations