Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the future of computational science while working alongside Nobel laureates in our state-of-the-art quantum research facility.
Our ideal candidate thrives at the intersection of theoretical physics and machine learning, pushing boundaries in quantum neural networks and algorithm optimization. You'll develop breakthrough quantum AI models while contributing to open-source frameworks that will define the next decade of technological innovation.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural network architectures
- Lead research on quantum-enhanced optimization techniques
- Collaborate with quantum hardware teams to bridge theory-practice gaps
- Publish findings in top-tier journals and conference proceedings
- Mentor junior researchers in quantum computing methodologies
- Secure research grants from government and private foundations
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of hands-on quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or quantum information
- Strong background in linear algebra and probability theory
- Experience with high-performance computing environments
- Ability to translate complex concepts for diverse stakeholders