Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-classical systems that will redefine computing paradigms. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish groundbreaking research in Nature's 2026 special edition on quantum supremacy.
Our state-of-the-art facility in San Francisco houses a 1024-qubit quantum annealer and exascale AI supercomputers. You'll lead projects funded by DARPA and NASA to develop quantum neural networks capable of solving previously intractable problems in materials science and climate modeling.
Responsibilities
- Design and implement novel quantum algorithms for AI acceleration
- Lead cross-functional teams in developing hybrid quantum-classical frameworks
- Author peer-reviewed publications for top-tier journals (Nature, Science)
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Develop quantum machine learning models for 2026-era autonomous systems
- Secure patents for quantum AI methodologies with 10+ years of protection
- Mentor postdoctoral researchers in quantum-computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
- Published work in quantum machine learning or quantum information theory
- Expertise in quantum programming languages (Qiskit, Cirq, or Quil)
- Proficiency in high-performance computing frameworks (TensorFlow Quantum, PennyLane)
- Deep understanding of quantum decoherence mitigation strategies
- Track record of securing research grants from NSF or equivalent bodies
- Experience with cryogenic quantum processor interfaces
- Strong background in topological quantum error correction codes