Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum-AI hybrid systems that will redefine industries by 2026. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum supremacy with machine learning intelligence. Our Austin-based R&D hub offers unparalleled resources for transforming theoretical physics into practical applications.
This role empowers you to shape the future of computational science while collaborating with Nobel laureates and Turing Award recipients. We provide competitive equity packages, flexible research hours, and access to our state-of-the-art quantum computing infrastructure.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Develop hybrid quantum-classical neural network architectures
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware engineers to optimize quantum circuit designs
- Publish breakthrough research in top-tier journals and conferences
- Secure government and industry grants for quantum-AI projects
- Mentor junior researchers in quantum programming and AI theory
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Published research in quantum computing or quantum information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability, and complexity theory
- Demonstrated ability to translate theoretical concepts into practical implementations