Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine human-computer interaction. As our Quantum AI Systems Architect, you'll design next-generation neural networks operating on quantum substrates, enabling unprecedented computational capabilities. Our Austin campus features state-of-the-art labs and a culture where visionary thinkers transform theoretical physics into practical applications. This role offers equity, flexible work arrangements, and the opportunity to shape humanity's technological future.
Responsibilities
- Design and implement quantum-AI hybrid neural networks for real-world applications
- Lead cross-disciplinary teams of physicists, engineers, and data scientists
- Develop error-correction protocols for quantum computational systems
- Create adaptive learning algorithms that leverage quantum superposition states
- Architect secure quantum communication protocols for enterprise clients
- Optimize quantum machine learning models for edge computing deployment
- Publish research in peer-reviewed quantum computing journals
Qualifications
- PhD in Quantum Computing, Physics, or related field (or equivalent experience)
- Expertise in quantum circuit design and quantum error correction
- Proficiency in Python, Qiskit, and quantum simulation frameworks
- 5+ years developing AI/ML systems at scale
- Deep understanding of quantum machine learning algorithms
- Experience with high-performance computing architectures
- Published research in quantum computing or AI domains
- Certification in quantum cloud platforms (AWS Braket, IBM Quantum)