Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect the next generation of hybrid quantum-classical systems that will redefine computational boundaries. Our Austin campus features state-of-the-art quantum annealing labs and AI supercomputers, where you'll collaborate with Nobel laureates and Turing Award winners. We offer unparalleled resources, flexible work arrangements, and equity participation in breakthrough technologies that will shape the next decade.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era applications
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop proprietary quantum error correction protocols for large-scale AI operations
- Collaborate with hardware engineers to optimize quantum-AI co-design architectures
- Publish breakthrough research in Nature/Science journals and top-tier conferences
- Mentor PhD researchers and patent revolutionary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (2020-2026)
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Deep understanding of quantum decoherence and error mitigation strategies
- Proven ability to translate theoretical quantum concepts into practical AI solutions