Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution! We're pioneering the next generation of computational intelligence that will redefine industries. As a Quantum AI Research Scientist, you'll develop breakthrough algorithms at the intersection of quantum computing and machine learning. Our Austin hub offers state-of-the-art facilities and collaborative teams pushing boundaries in error correction, hybrid quantum-classical systems, and neural quantum networks. Shape the future of technology while solving humanity's most complex challenges.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research in quantum error correction and fault-tolerant computing
- Develop hybrid quantum-classical neural network architectures
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish breakthrough research in top-tier journals/conferences
- Mentor junior researchers and drive innovation sprints
- Secure grants and patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- 3+ years of quantum algorithm development experience
- Proficiency in quantum frameworks (Qiskit, Cirq, PennyLane)
- Publication record in quantum machine learning research
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum entanglement and decoherence principles
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)