Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning and algorithm optimization. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into reality. Collaborate with Nobel laureates and visionary engineers to shape humanity's digital future. We offer competitive equity packages, flexible work arrangements, and unlimited learning opportunities. Your work will directly impact industries from drug discovery to climate modeling.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Develop hybrid quantum-classical AI architectures for complex problem-solving
- Lead experimental validation of quantum computing protocols on 50+ qubit systems
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Author groundbreaking research papers for premier journals and conferences
- Mentor junior researchers and drive innovation through quantum hackathons
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Proven track record of publishing in Nature/Science journals or top-tier conferences
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Experience with superconducting or photonic quantum hardware
- Advanced knowledge of quantum error correction and fault tolerance
- Proficiency in Python, C++, and quantum circuit optimization
- Excellent communication skills for technical and non-technical stakeholders