Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence that will redefine computational boundaries. Our cross-disciplinary team operates at the intersection of quantum computing, machine learning, and theoretical physics to solve humanity's most complex challenges. As a Quantum AI Researcher, you'll develop next-gen algorithms, optimize quantum neural networks, and publish breakthrough research in Nature/Science journals. Enjoy unlimited R&D budget, flexible experimentation protocols, and collaboration with Nobel laureates in our state-of-the-art facility overlooking the Bay.
Responsibilities
- Design and implement quantum machine learning models for 2026-era computational architectures
- Lead research initiatives in quantum neural networks and error-corrected AI systems
- Collaborate with hardware teams to optimize quantum-AI hybrid algorithms
- Develop novel approaches to quantum-enhanced deep learning and generative models
- Secure patents and publish in top-tier journals (Nature, Science, Quantum)
- Mentor PhD researchers and drive open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent research experience)
- Expertise in quantum algorithms and machine learning frameworks
- Proficiency with Qiskit, Cirq, or equivalent quantum development platforms
- Published work in quantum computing or AI research (top-tier journals)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong mathematical foundations in linear algebra, probability, and information theory
- Proven ability to lead complex research projects with ambiguous requirements