Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking solutions that will redefine industries by 2026. In this role, you'll collaborate with Nobel Prize-winning scientists and industry disruptors to build scalable quantum neural networks and hybrid AI systems. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimental prototyping and computational research.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical AI architectures for real-world applications
- Lead experimental validation of quantum advantage in computational tasks
- Collaborate with cross-functional teams to integrate quantum solutions into enterprise systems
- Author high-impact research papers for leading scientific journals and conferences
- Secure research funding through grant proposals and technical documentation
- Mentor junior researchers and foster innovation in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and frameworks
- Strong background in machine learning architectures (transformers, GANs, reinforcement learning)
- Proven track record of peer-reviewed publications in quantum/AI research
- Experience with high-performance computing and distributed systems
- Proficiency in Python, C++, and quantum circuit simulation tools
- Demonstrated ability to translate theoretical concepts into practical implementations