Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering neural-quantum interfaces that will redefine human-machine collaboration. Your work will directly impact the development of adaptive AI systems capable of solving humanity's most complex challenges. Our state-of-the-art Austin facility offers unparalleled resources for breakthrough research in quantum computing and neural network optimization.
Responsibilities
- Design and implement quantum algorithms for next-gen neural networks
- Lead cross-functional R&D teams in prototyping quantum-AI hybrid systems
- Develop ethical frameworks for advanced autonomous decision-making
- Collaborate with neuroscientists to create biologically-inspired quantum models
- Secure patents for novel quantum machine learning methodologies
- Publish findings in top-tier journals and present at global tech summits
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 3+ years experience with quantum machine learning frameworks
- Proficiency in Qiskit, Cirq, and quantum circuit design
- Published research in quantum neural networks
- Expertise in Python, TensorFlow, and PyTorch
- Deep understanding of quantum decoherence mitigation
- Certification in quantum hardware architecture (e.g., IBM Q)
- Track record of translating theoretical concepts into practical applications