Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research in quantum machine learning, error correction, and neural network optimization. This role includes competitive equity, flexible hybrid work arrangements, and access to our exclusive innovation accelerator program.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Lead cross-functional teams in prototyping quantum neural networks
- Develop error-correction protocols for quantum machine learning systems
- Publish high-impact research in top-tier journals and conferences
- Collaborate with hardware teams to integrate quantum processors with AI frameworks
- Secure research grants and patents in quantum-AI convergence domains
- Mentor junior researchers and drive innovation workshops
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum computing or AI (minimum 3 peer-reviewed papers)
- Proficiency in Python, C++, and quantum simulation tools
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)