Job Description
Shape the future by pioneering breakthroughs at the intersection of quantum computing and artificial intelligence. NeuroSynth Dynamics is seeking visionary Quantum AI Research Scientists to develop transformative technologies that will redefine industries by 2026. Join our elite team in San Francisco, where cutting-edge research meets real-world application. You'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility powered by quantum processors.
We offer unparalleled resources, including access to quantum annealing hardware, neural simulation platforms, and a $500M research budget. Your work will directly impact fields from drug discovery to climate modeling, positioning NeuroSynth as the global leader in quantum-AI convergence.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams in developing quantum neural networks with 1000+ qubit capabilities
- Publish groundbreaking research in top-tier journals and present at global conferences
- Collaborate with hardware engineers to optimize quantum-AI hybrid system performance
- Develop patentable methodologies for quantum error correction in deep learning architectures
- Mentor junior researchers and establish industry standards for quantum-AI ethics
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 5+ years research experience
- Proven expertise in quantum algorithms (QAOA, VQE) and deep learning frameworks
- Published work in Nature/Science or equivalent high-impact journals
- Proficiency with quantum programming languages (Qiskit, Cirq) and GPU-accelerated computing
- Experience with quantum hardware (IBM Quantum, Rigetti) and error mitigation techniques
- Strong background in theoretical physics and computational complexity theory
- Track record of translating research into commercial applications