Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-powered AI systems for 2026 and beyond. We're seeking a visionary Quantum Machine Learning Architect to design next-gen algorithms that redefine computational boundaries. Work in our state-of-the-art Austin lab, collaborating with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
Our team develops proprietary quantum neural networks that process exabyte-scale datasets in real-time. You'll architect hybrid quantum-classical frameworks for applications ranging from climate modeling to personalized medicine. This role offers unparalleled opportunities to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging Qiskit, Cirq, and custom frameworks
- Lead development of hybrid quantum-classical neural networks for enterprise applications
- Optimize quantum circuits for NISQ-era hardware with 1000+ qubit capabilities
- Collaborate with hardware teams to co-design quantum processors and error correction protocols
- Develop quantum data pipelines for real-time processing of multi-modal datasets
- Mentor junior researchers and publish breakthrough findings in top-tier journals
- Drive quantum computing roadmap alignment with industry 4.0 adoption trends
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years industry experience
- Expertise in quantum algorithms (VQE, QAOA, Grover's) and error mitigation techniques
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Published research in quantum machine learning or related fields
- Experience with quantum cloud platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to lead cross-functional technical teams
- Understanding of NISQ-era hardware limitations and optimization strategies