Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect next-generation computational paradigms that will redefine industries by 2026. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley lab, developing proprietary quantum neural networks and hybrid AI systems. We offer unparalleled resources, competitive equity packages, and the opportunity to publish groundbreaking research while shaping humanity's technological future.
Responsibilities
- Design and implement quantum algorithms for advanced machine learning applications
- Lead R&D initiatives in quantum neural networks and hybrid quantum-classical AI systems
- Develop error-correction protocols for scalable quantum computing architectures
- Collaborate with hardware teams to optimize quantum-AI co-design implementations
- Secure multi-million dollar research grants through NSF and DARPA partnerships
- Publish high-impact research in Nature/Science journals and present at top-tier conferences
- Mentor PhD researchers and drive innovation in our quantum-AI incubator program
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry research experience
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit Aqua)
- Proven track record of publishing in Nature/Science or equivalent tier-1 journals
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and Python/R
- Deep understanding of quantum error correction and fault-tolerance techniques
- Experience securing federal research grants (NSF, DOE, DARPA preferred)
- Strong background in AI/ML with demonstrated impact in neural network optimization