Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI fusion systems for 2026. Our multidisciplinary team builds autonomous quantum neural networks that solve previously unsolvable computational challenges. This role offers unparalleled opportunity to shape humanity's technological future while working alongside Nobel Prize-winning researchers in our Austin innovation hub.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen autonomous systems
- Lead cross-functional R&D projects combining quantum computing with neuromorphic AI
- Develop proprietary quantum error correction protocols for commercial applications
- Collaborate with hardware teams to optimize quantum-AI hybrid architectures
- Publish breakthrough research in top-tier scientific journals
- Secure patents for novel 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 machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum information theory or quantum machine learning
- Proficiency in Python, C++, and quantum circuit optimization
- Demonstrated experience with quantum hardware platforms (IBM Rigetti, IonQ)