Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Scientists to develop breakthrough algorithms that will redefine computing capabilities by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into real-world applications across healthcare, climate modeling, and cryptography. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation is celebrated and failure is reframed as discovery.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams in developing error-corrected quantum computing architectures
- Translate theoretical quantum physics models into scalable AI frameworks
- Publish breakthrough research in top-tier journals and industry whitepapers
- Secure and manage federal R&D grants for quantum-AI initiatives
- Mentor PhD candidates and postdoctoral researchers in quantum computational theory
- Partner with Fortune 500 clients to implement quantum solutions for enterprise challenges
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science with 3+ years post-grad research
- Published work in Nature/Science or top-tier quantum computing conferences
- Expertise in quantum error correction protocols and fault-tolerant architectures
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Experience securing NSF or DOE grants for quantum research
- Demonstrated ability to translate complex quantum concepts into commercial applications