Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. This role offers unparalleled opportunity to work with cutting-edge quantum hardware and advanced neural networks in a collaborative, future-focused environment.
Responsibilities
- Design and implement quantum-enhanced machine learning models for complex data analysis
- Lead cross-functional R&D teams in developing quantum-AI hybrid architectures
- Collaborate with hardware engineers to optimize quantum algorithm performance
- Publish breakthrough research in top-tier AI/quantum journals
- Develop patentable methodologies for quantum error correction in neural networks
- Shape 2026 technology roadmap through strategic foresight analysis
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq)
- Expertise in neural network architectures (transformers, GANs)
- Published research in quantum machine learning or related fields
- Proficiency with Python, TensorFlow/PyTorch, and quantum simulators
- Demonstrated ability to translate theoretical concepts to practical implementations
- Strong background in high-performance computing environments
- Experience securing federal or industry research grants