Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications. We're seeking visionary minds to collaborate with Nobel laureates and industry disruptors on projects that will shape humanity's digital future. Enjoy competitive equity, flexible research parameters, and the opportunity to patent groundbreaking innovations.
Responsibilities
- Design and implement quantum machine learning models leveraging qubit-based neural networks
- Develop hybrid quantum-classical algorithms for optimization and simulation challenges
- Lead cross-functional teams to integrate quantum solutions into enterprise AI frameworks
- Publish peer-reviewed research in top-tier quantum computing and AI journals
- Secure federal and private research grants for advanced quantum AI initiatives
- Collaborate with hardware teams to co-design quantum processors optimized for ML workloads
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and high-performance computing
- Published research in quantum machine learning or related fields
- Proficiency in Python, C++, and quantum circuit design methodologies
- Strong background in linear algebra, probability theory, and quantum information theory