Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll design breakthrough algorithms that merge quantum computing with artificial intelligence to solve previously unsolvable problems. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world applications.
We're seeking visionaries who thrive at the intersection of quantum mechanics, machine learning, and computational theory. You'll work with our world-class team to develop proprietary quantum neural networks and contribute to patent-pending methodologies that will define the 2026 technological landscape. This role includes competitive equity, flexible research hours, and access to our state-of-the-art quantum computing infrastructure.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Develop novel hybrid quantum-classical machine learning architectures
- Lead research initiatives in quantum error correction for neural networks
- Collaborate with hardware engineers to optimize quantum-AI system performance
- Author peer-reviewed publications and technical whitepapers
- Mentor junior researchers in quantum computing methodologies
- Secure external research grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Deep expertise in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum algorithms or quantum machine learning
- Strong background in linear algebra and quantum information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven track record of translating complex theoretical concepts into practical implementations