Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum-AI hybrid systems that will redefine 2026's technological landscape. As a Quantum AI Research Scientist, you'll develop next-generation algorithms merging quantum computing with artificial intelligence to solve previously impossible challenges in cryptography, drug discovery, and climate modeling. Our Austin hub features state-of-the-art labs and a collaborative culture where your breakthroughs will directly shape humanity's digital future.
We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for your experimental projects. Help us build the computational backbone of 2026.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical AI systems using Qiskit and TensorFlow Quantum
- Lead cross-functional teams to prototype quantum neural networks
- Research novel error correction techniques for quantum-AI integration
- Publish findings in top-tier journals and present at IEEE Quantum Week
- Collaborate with hardware teams to optimize quantum circuit architectures
- Secure patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on quantum algorithm development using Qiskit/Cirq
- Expertise in Python, TensorFlow, and PyTorch frameworks
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate complex theoretical concepts into practical implementations