Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration in 2026. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for exploring quantum machine learning, error correction protocols, and hybrid quantum-classical architectures. This role represents a rare opportunity to shape the future of computing while collaborating with Nobel laureates and industry pioneers. We offer competitive equity packages, flexible research schedules, and dedicated quantum hardware access.
Responsibilities
- Design and implement novel quantum machine learning algorithms for optimization and pattern recognition
- Develop fault-tolerant quantum computing protocols for real-world applications
- Lead cross-functional research teams in quantum-AI integration projects
- Author peer-reviewed publications and present findings at top-tier conferences
- Collaborate with hardware engineers to optimize quantum circuit implementations
- Secure and manage research grants from DARPA and NSF initiatives
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years research experience
- Expertise in quantum algorithm design and quantum circuit optimization
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in Nature/Science or top-tier quantum computing journals
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Deep understanding of quantum error correction and fault tolerance