Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation computational frameworks that will redefine human potential. As a Quantum AI Research Scientist, you'll architect hybrid quantum-neural systems solving previously unsolvable challenges in cryptography, climate modeling, and synthetic biology. Our state-of-the-art facility offers unparalleled resources including quantum annealers, neuromorphic processors, and real-time simulation environments. This role directly shapes the technological landscape for the next decade.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop novel error-correction protocols for hybrid quantum-classical systems
- Lead cross-functional teams prototyping AI-driven quantum hardware accelerators
- Author peer-reviewed publications on quantum neural network architectures
- Collaborate with government agencies on post-quantum cryptography standards
- Translate theoretical models into production-ready quantum software stacks
- Mentor junior researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years industry experience
- Published research in Nature/Science or equivalent tier journals on quantum machine learning
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Deep understanding of quantum decoherence mitigation strategies
- Proficiency in Python, TensorFlow Quantum, and high-performance computing environments
- Demonstrated experience with variational quantum eigensolvers (VQE)
- Strong background in topological quantum computing models