Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries and accelerate breakthroughs in materials science, cryptography, and climate modeling.
This role offers unparalleled resources: access to our 128-qubit quantum processor, collaboration with Nobel laureates, and a $50M research budget. You'll publish in Nature/Science and shape the quantum landscape for the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping quantum neural networks
- Develop hybrid quantum-classical frameworks for real-world problem solving
- Optimize quantum error correction protocols for industrial-scale deployment
- Secure research grants and publish top-tier academic papers
- Mentor PhD candidates in quantum AI methodologies
- Collaborate with hardware teams to co-design quantum processors
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years research experience
- Expertise in quantum algorithms (Shor, Grover, VQE) and quantum programming (Qiskit, Cirq)
- Published work in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum error correction and fault-tolerant architectures
- Demonstrated ability to secure NSF or DARPA funding
- Strong background in linear algebra, probability, and complex analysis