Job Description
Shape the future of human-machine intelligence at NeuroSynth Labs. We're pioneering quantum-entangled AI systems that transcend classical computing limits. As our Quantum AI Systems Architect, you'll design next-generation neural interfaces and hybrid quantum-classical frameworks. Join our multidisciplinary team of Nobel-caliber researchers in Austin's vibrant tech ecosystem. This role offers unparalleled opportunities to publish breakthrough research, collaborate with industry pioneers, and contribute to technologies that will redefine healthcare, climate modeling, and autonomous systems.
Responsibilities
- Architect scalable quantum-AI integration frameworks using Qiskit and D-Wave systems
- Lead development of neuromorphic processors for quantum-enhanced machine learning
- Optimize quantum algorithms for real-time biometric data processing
- Design fault-tolerant quantum neural networks for medical diagnostics
- Collaborate with hardware engineers on quantum chip co-design
- Implement quantum-secure encryption protocols for sensitive AI training data
- Develop hybrid classical-quantum computing benchmarks and performance metrics
Qualifications
- PhD in Quantum Computing, Computational Physics, or equivalent experience
- 3+ years implementing quantum algorithms on real hardware (IBM/Rigetti preferred)
- Expertise in quantum machine learning frameworks (PennyLane, TensorFlow Quantum)
- Proficiency in low-level quantum programming (Q#, OpenQASM) and classical Python/C++
- Published research in quantum error correction or quantum supremacy
- Experience with neuromorphic computing (Intel Loihi, IBM TrueNorth)
- Strong background in topological quantum computing and quantum annealing
- Security clearance eligibility or experience handling sensitive research data