Job Description
Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum-AI convergence for 2026 breakthroughs in computational intelligence. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine machine learning paradigms. Our cross-disciplinary team operates in a cutting-edge lab environment with access to quantum computing infrastructure. This role offers unparalleled opportunities to publish in top-tier journals and contribute to patentable innovations that will shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum-enhanced machine learning frameworks for 2026 deployment
- Lead research in quantum neural networks and hybrid quantum-classical algorithms
- Collaborate with hardware engineers to optimize quantum computing architectures
- Develop ethical AI governance frameworks for quantum systems
- Secure $2M+ in research grants from NSF, DARPA, and industry consortia
- Mentor PhD candidates in quantum machine learning methodologies
- Translate theoretical breakthroughs into commercial IP assets
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of quantum algorithm development experience
- Published research in Nature/Science or equivalent tier journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in tensor networks and quantum error correction
- Deep understanding of quantum advantage in AI optimization problems
- Track record of securing competitive research funding
- Strong background in high-performance computing environments