Job Description
Shape 2026's technological frontier as NeuroSynth Dynamics pioneers the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Systems Architect to design next-generation neural networks operating on quantum substrates. Join our interdisciplinary team at the Austin Innovation Hub where you'll collaborate with Nobel laureates and industry disruptors to redefine computational paradigms.
This role offers unparalleled access to our $500M quantum research lab, equity in a unicorn startup, and the opportunity to patent breakthrough technologies that will power the next decade of human-machine symbiosis.
Responsibilities
- Design hybrid quantum-classical neural architectures for real-time data processing
- Develop error-correction protocols for 1000+ qubit quantum processors
- Create simulation frameworks for quantum machine learning algorithms
- Lead cross-functional teams in prototyping quantum AI applications
- Optimize quantum circuits for energy efficiency at scale
- Secure patents for novel quantum computing methodologies
- Mentor junior researchers in quantum information theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- 5+ years developing quantum algorithms or quantum error correction systems
- Expertise in Python/C++ with quantum libraries (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum information
- Deep understanding of quantum entanglement and decoherence mitigation
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Strong background in topological quantum computing or quantum annealing