Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational capabilities. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility, where we're building the quantum infrastructure for 2026 and beyond.
Our team operates at the bleeding edge of quantum machine learning, developing error-corrected quantum neural networks and hybrid quantum-classical systems. You'll have access to our 1000-qubit quantum annealer and exclusive partnerships with leading hardware manufacturers. This position offers unparalleled opportunities to shape the future of technology while contributing to breakthroughs in drug discovery, climate modeling, and materials science.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Develop error correction protocols for quantum neural networks
- Lead experimental validation of quantum AI models on our proprietary hardware
- Collaborate with hardware engineers to optimize quantum-classical interfaces
- Publish research in Nature/Science journals and present at IEEE Quantum Week
- Mentor junior researchers in quantum machine learning methodologies
- Secure research funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python/C++ with optimization for quantum systems
- Deep understanding of quantum error correction and fault tolerance
- Demonstrated ability to translate theoretical models into experimental protocols
- Strong background in linear algebra, probability theory, and quantum mechanics