Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop breakthrough algorithms that will redefine computational boundaries by 2026. Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and theoretical physics, tackling challenges from drug discovery to climate modeling. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, equipped with IBM Quantum One and D-Wave Advantage systems. This isn't just a job—it's your chance to shape humanity's technological trajectory.
Responsibilities
- Design and implement novel quantum machine learning algorithms for NISQ-era hardware
- Develop hybrid quantum-classical frameworks for optimization problems
- Lead experimental validation of quantum AI models on real quantum processors
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Author peer-reviewed publications and patents in quantum computing research
- Mentor junior researchers and contribute to open-source quantum AI libraries
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical algorithm design
- Published research in quantum machine learning or quantum information theory
- Proficiency in high-performance computing and parallelization techniques
- Strong mathematical foundation in linear algebra, probability, and information theory