Job Description
Join NeuroSync Technologies at the forefront of 2026's quantum-AI convergence revolution. We're pioneering neural-quantum interfaces that will redefine human-computer symbiosis. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that bridge quantum computing and neural networks, pushing the boundaries of computational intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research.
Responsibilities
- Design and implement quantum machine learning models for neural network acceleration
- Develop hybrid quantum-classical algorithms for real-time data processing
- Collaborate with neuroscientists to model quantum-enhanced brain-computer interfaces
- Optimize quantum circuits for error correction in high-dimensional neural spaces
- Lead open-source quantum-AI framework development
- Publish research in IEEE Nature Quantum journals
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- Expertise in Qiskit, Cirq, or PennyLane frameworks
- Published research in quantum machine learning (2021-2024)
- Proficiency in Python, TensorFlow, and PyTorch
- Experience with D-Wave or IBM quantum processors
- Strong background in tensor networks and quantum entanglement
- Understanding of neuro-symbolic AI integration