Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll architect breakthrough solutions for autonomous systems, climate modeling, and computational medicine. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into real-world applications that will define 2026 and beyond. We're seeking visionary minds who thrive at the intersection of quantum computing, machine learning, and ethical AI deployment.
Responsibilities
- Design and implement quantum machine learning algorithms for complex system optimization
- Lead R&D initiatives in quantum neural networks and hybrid quantum-classical computing
- Collaborate with cross-functional teams to deploy quantum-AI solutions in autonomous systems
- Develop ethical frameworks for quantum AI governance and bias mitigation
- Publish peer-reviewed research and present findings at global tech conferences
- Mentor junior researchers in quantum computing principles and AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in quantum algorithm development and error correction techniques
- Strong background in deep learning architectures and transformer models
- Published research in quantum machine learning or related fields
- Proficiency in Python, TensorFlow, and high-performance computing environments
- Demonstrated ability to translate theoretical concepts into scalable solutions