Job Description
Join NeuroSync Technologies at the forefront of 2026's quantum-AI revolution! We're pioneering neural-quantum interfaces that will redefine human-machine symbiosis. As a Quantum AI Research Scientist, you'll develop algorithms that merge quantum computing with neural networks to solve previously impossible challenges in healthcare, climate modeling, and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into life-changing innovations.
What you'll achieve: Lead breakthrough research in quantum machine learning, publish top-tier papers, and contribute to patents that will shape the next decade of technological evolution. Collaborate with Nobel laureates and industry pioneers to push the boundaries of computational intelligence.
Responsibilities
- Design and implement quantum algorithms for neural network optimization
- Develop hybrid quantum-classical AI models for real-world applications
- Lead cross-functional research teams in quantum-AI integration projects
- Translate theoretical quantum computing concepts into scalable software solutions
- Collaborate with neuroscientists to create brain-quantum interfaces
- Secure patents and publish research in IEEE/Nature journals
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with high-performance computing clusters and GPU acceleration
- Track record of translating research into commercial applications
- Excellent communication skills for technical and non-technical audiences