Job Description
Shape the future of computational intelligence at NeuroSynth Dynamics. We're pioneering quantum neural networks that will redefine machine learning capabilities by 2026. As our Quantum Computing Architect, you'll architect hybrid quantum-classical systems that process exabytes of data while maintaining quantum coherence. Join our elite team of physicists and AI researchers in building the computational backbone for next-generation autonomous systems, climate modeling, and drug discovery.
Why Join Us? Work at the intersection of quantum mechanics and artificial intelligence in Austin's innovation ecosystem. We offer cutting-edge research budgets, equity participation in breakthrough patents, and flexible hybrid work arrangements.
Responsibilities
- Design scalable quantum algorithms for neural network acceleration
- Develop error-correction protocols for fault-tolerant quantum processors
- Architect hybrid quantum-classical computing infrastructure
- Lead integration of quantum systems with cloud platforms (AWS Braket, Azure Quantum)
- Optimize qubit utilization for machine learning workloads
- Collaborate with AI researchers to develop quantum-optimized neural networks
- Document quantum system architectures and publish breakthrough research
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 5+ years experience in quantum algorithm design
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning frameworks (TensorFlow Quantum, PyTorch)
- Strong background in quantum error correction techniques
- Published research in quantum computing or quantum machine learning
- Experience with superconducting or photonic quantum processors
- Security clearance for handling sensitive quantum encryption projects