Job Description
Join NeuroSync Technologies at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation neural interfaces that merge quantum computing with artificial intelligence to redefine human-computer symbiosis. As a Quantum AI Research Engineer, you'll architect and deploy algorithms that transcend classical computing limitations, working in our state-of-the-art lab overlooking the Bay. This role offers unparalleled opportunities to publish breakthrough research and shape the future of cognitive augmentation.
Responsibilities
- Design quantum neural network architectures for real-time cognitive processing
- Develop hybrid quantum-classical machine learning models for pattern recognition
- Implement error-correction protocols for quantum-coherent neural interfaces
- Collaborate with neuroscientists to optimize brain-computer integration protocols
- Lead quantum algorithm optimization for edge-computing applications
- Document research outcomes in peer-reviewed publications and patents
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS + 5 years experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum neural networks
- Expertise in quantum error correction and fault-tolerant systems
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Experience with cryogenic quantum hardware integration
- Demonstrated ability to translate theoretical models into practical implementations