Job Description
Join the forefront of technological evolution at Nexus Quantum Dynamics. We're pioneering quantum-AI fusion systems that will redefine computing by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms at the intersection of quantum mechanics and artificial intelligence. Our Austin-based hub offers state-of-the-art labs and unparalleled collaboration opportunities to transform theoretical models into breakthrough applications.
We value intellectual curiosity as much as technical excellence. If you're passionate about solving problems that others deem impossible, we invite you to contribute to humanity's most ambitious technological leap.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
- Publish breakthrough research in top-tier journals and industry conferences
- Translate theoretical quantum computing models into practical enterprise solutions
- Collaborate with hardware engineers to optimize quantum-AI system performance
- Drive innovation in quantum neural networks and error-correction methodologies
- Secure research grants and patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years research experience
- Published work in quantum machine learning or quantum algorithm development
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in at least one classical ML framework (TensorFlow, PyTorch)
- Strong background in quantum error correction and fault-tolerant computing
- Demonstrated ability to lead complex R&D projects from conception to implementation
- Experience with high-performance computing and distributed quantum systems
- Entrepreneurial mindset with history of translating research into commercial applications