Job Description
Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation neural networks operating at quantum coherence, pushing beyond classical computing limits. Our state-of-the-art facilities in San Francisco offer unparalleled resources to transform theoretical breakthroughs into real-world applications.
We seek visionaries who thrive at the intersection of quantum mechanics, machine learning, and computational neuroscience. Your work will directly impact fields ranging from climate modeling to personalized medicine, operating within a culture that values audacious innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum neural networks leveraging qubit entanglement
- Develop hybrid quantum-classical algorithms for exponential speedups
- Lead research in quantum error correction for fault-tolerant AI systems
- Collaborate with Nobel laureates on quantum-AI integration protocols
- Publish breakthrough findings in Nature Physics and Science journals
- Prototype quantum machine learning frameworks for enterprise applications
- Mentor PhD candidates in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computational Neuroscience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Proficiency with tensor networks and quantum circuit optimization
- Demonstrated experience with quantum hardware (IBM Quantum, Rigetti)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Ability to translate complex quantum concepts into business applications