Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-generation algorithms, collaborate with Nobel laureates, and shape the future of computational intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources for groundbreaking research.
We offer competitive compensation, flexible work arrangements, and opportunities to publish in leading journals. Your work will directly impact fields from drug discovery to climate modeling. If you're driven to push beyond classical computing boundaries, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Develop hybrid quantum-classical AI models using cutting-edge frameworks
- Lead cross-functional teams to solve optimization problems at quantum scale
- Collaborate with hardware engineers to optimize quantum circuit implementations
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong background in linear algebra, probability theory, and quantum mechanics
- Proven track record of peer-reviewed publications in quantum/AI
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)