Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution! We're pioneering quantum neural interfaces that will redefine human-computer symbiosis. As our Quantum AI Architect, you'll architect next-generation systems that merge quantum computing with adaptive machine learning. This role offers unparalleled impact in shaping the future of cognitive augmentation and autonomous decision-making frameworks.
We offer competitive equity packages, unlimited R&D budget, and flexible hybrid work arrangements. Our state-of-the-art lab features 40-qubit quantum processors and neuro-VR simulation environments. If you're driven to build the impossible, this is your calling.
Responsibilities
- Design and implement quantum-enhanced neural network architectures for 2026's cognitive augmentation systems
- Develop hybrid quantum-classical algorithms achieving 1000x computational speedups
- Lead cross-disciplinary teams in prototyping neuro-quantum interfaces
- Optimize quantum error correction for real-time AI decision-making
- Architect secure quantum-resistant cryptographic protocols for next-gen data
- Pioneer adaptive learning systems that evolve with quantum computational advances
- Validate quantum-AI hybrid models using our proprietary neuro-simulation platform
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 5+ years developing production-level quantum algorithms or neural networks
- Expertise in quantum circuit design and Qiskit/Cirq frameworks
- Published research in top-tier quantum/AI conferences (e.g., NeurIPS, QIP)
- Proficiency in high-performance computing environments (HPC, GPU/TPU clusters)
- Demonstrated experience with quantum-resistant cryptography implementations
- Strong background in cognitive neuroscience and brain-computer interfaces
- Ability to translate complex quantum concepts into practical engineering solutions