Job Description
Shape the future of human-machine collaboration at Nexus Quantum Solutions. We're pioneering quantum-AI hybrid systems that will redefine industries by 2026. As a Quantum AI Systems Engineer, you'll architect next-gen neural networks operating at quantum coherence thresholds, bridging classical computing with quantum supremacy paradigms. Join our Austin-based lab where your work directly impacts breakthroughs in computational biology, autonomous systems, and climate modeling.
What You'll Achieve: Design fault-tolerant quantum machine learning algorithms, optimize qubit stability protocols for real-time decision-making, and lead cross-functional teams in deploying quantum-AI solutions. You'll collaborate with Nobel laureates and NASA quantum research fellows in an environment that values audacious innovation.
Responsibilities
- Architect quantum-AI fusion systems achieving 10^6x computational acceleration
- Develop error-correction frameworks for 100+ qubit quantum processors
- Implement neuromorphic computing interfaces for quantum neural networks
- Lead deployment of quantum-AI solutions in healthcare and logistics sectors
- Optimize quantum gate operations for sub-millisecond latency requirements
- Author patents for quantum machine learning innovations
- Mentor junior engineers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, AI, or Physics with 5+ years industry experience
- Published research in quantum machine learning or quantum error correction
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Expertise in cryogenic quantum hardware integration protocols
- Track record of deploying quantum algorithms at scale
- Deep understanding of quantum supremacy thresholds and NISQ limitations
- Certification in quantum security protocols (e.g., QKD, lattice-based crypto)