Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen systems that merge quantum computing with artificial intelligence, pushing boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations.
Responsibilities
- Design and implement quantum algorithms for AI optimization
- Develop hybrid quantum-classical machine learning frameworks
- Lead R&D projects in quantum-resistant cryptography
- Collaborate with cross-disciplinary teams on quantum hardware integration
- Publish research in top-tier journals and conferences
- Mentor junior researchers in quantum computing principles
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of quantum algorithm development experience
- Proficiency in Qiskit, Cirq, or similar quantum frameworks
- Expertise in machine learning frameworks (TensorFlow/PyTorch)
- Strong background in linear algebra and quantum mechanics
- Publication record in quantum computing or AI research
- Experience with cloud quantum computing platforms (IBM, AWS Braket)