Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI integration for 2026. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine computing paradigms. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum algorithms, optimize neural networks at quantum scales, and prototype systems that will power the next decade's innovations. Our Austin campus offers state-of-the-art facilities including a 128-qubit quantum processor and petascale AI clusters.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing quantum-AI hybrid computing architectures
- Conduct theoretical research on quantum error correction and coherence optimization
- Publish groundbreaking research in top-tier journals and conferences
- Develop patent-pending quantum-AI frameworks for commercial deployment
- Mentor junior researchers and drive innovation in quantum software development
- Collaborate with hardware teams to co-design quantum-AI systems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 5+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum computing or AI (minimum 3 peer-reviewed papers)
- Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Demonstrated ability to translate theoretical concepts into practical solutions
- Strong background in linear algebra, probability, and information theory