Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of human-AI symbiosis systems. This role bridges quantum computing, neuromorphic engineering, and ethical AI development to create solutions that redefine human potential.
As part of our elite Future Horizons division, you'll lead groundbreaking projects in quantum neural networks, consciousness modeling, and predictive intelligence systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including a 1000-qubit quantum processor and neurosynaptic computing clusters.
We offer competitive compensation, equity packages, and the opportunity to shape humanity's technological trajectory. If you're ready to translate theoretical possibilities into tangible 2026 realities, we want to meet you.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era cognitive computing
- Lead cross-disciplinary teams in developing ethical AI governance frameworks
- Architect hybrid quantum-classical systems for predictive intelligence modeling
- Collaborate with neuroscientists to create consciousness-inspired AI paradigms
- Develop proprietary algorithms for quantum-entangled data processing
- Pioneer human-AI symbiosis interfaces for next-generation neural augmentation
- Author strategic white papers on quantum AI's societal impact by 2026
Qualifications
- PhD in Quantum Computing, AI, or Computational Neuroscience with 8+ years industry experience
- Proven expertise in quantum machine learning and quantum error correction
- Published research in Nature/Science on quantum AI or consciousness modeling
- Mastery of quantum programming frameworks (Qiskit, Cirq) and neuromorphic hardware
- Demonstrated experience building ethical AI governance frameworks
- Exceptional ability to translate complex quantum concepts to executive stakeholders
- Portfolio of deployed quantum AI systems processing petabyte-scale datasets
- Deep understanding of 2026 technology landscape and emerging regulatory frameworks