Job Description
Join NeuroSynth Labs at the forefront of 2026's quantum-AI revolution. We're pioneering brain-computer interfaces that merge quantum computing with neural decoding to transform human potential. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that process neural data through quantum-entangled systems, creating unprecedented cognitive enhancement platforms. Our Austin hub features state-of-the-art quantum processors and neuro-labs where you'll collaborate with Nobel laureates and Silicon Valley visionaries.
Responsibilities
- Design quantum algorithms for real-time neural signal processing
- Develop hybrid quantum-classical machine learning models for cognitive enhancement
- Lead prototyping of quantum-neural interface hardware
- Optimize quantum error correction for biocompatible quantum sensors
- Collaborate with neuroscientists to validate quantum-enhanced cognitive protocols
- Publish breakthrough research in IEEE Nature Quantum journals
Qualifications
- PhD in Quantum Computing, Computational Neuroscience, or related field
- 3+ years experience with quantum programming (Q#, Cirq, or Qiskit)
- Expertise in neural network architectures and brain-computer interfaces
- Published research in quantum machine learning or neuro-quantum systems
- Proficiency in quantum hardware (superconducting qubits, ion traps)
- Strong background in Python/C++ with high-performance computing
- Certification in quantum security protocols (e.g., NIST standards)