Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Engineer to develop breakthrough algorithms that will redefine computational capabilities. Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and high-performance computing to solve humanity's most complex challenges.
This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with leading academic institutions. You'll contribute to projects with real-world impact across cryptography, optimization, and climate modeling, while shaping the ethical framework for responsible AI deployment.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing architectures for performance optimization
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to translate theoretical models into practical implementations
- Publish groundbreaking research in top-tier journals and conferences
- Guide junior researchers through experimental validation of quantum protocols
- Contribute to patent development for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in machine learning frameworks (PyTorch/TensorFlow) and classical algorithm optimization
- Published research in quantum information science or quantum machine learning
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing clusters and distributed systems
- Demonstrated ability to translate theoretical concepts into experimental implementations