Job Description
Join QuantumLeap Dynamics at the forefront of technological innovation as we build the next generation of AI-driven solutions for 2026. As a Senior AI Systems Architect, you'll design and implement cutting-edge machine learning frameworks that redefine industry standards. Our Austin-based team operates at the intersection of quantum computing, neural networks, and sustainable technology, offering unparalleled opportunities to shape tomorrow's digital landscape.
We provide comprehensive benefits including equity grants, flexible hybrid work, and a $15,000 annual learning stipend. Our state-of-the-art facility features on-site biometric labs and neuro-ergonomic workstations designed to optimize cognitive performance.
Responsibilities
- Architect scalable neural networks using quantum-inspired algorithms for real-time data processing
- Lead cross-functional teams in developing ethical AI governance frameworks aligned with 2026 regulatory standards
- Design federated learning systems that enable collaborative model training across decentralized data sources
- Optimize AI pipelines for edge computing deployment in IoT ecosystems
- Conduct adversarial testing to ensure model robustness against emerging cyber threats
- Drive innovation in neuromorphic computing integration for energy-efficient AI operations
- Develop patent-prompting solutions for explainable AI (XAI) visualization systems
Qualifications
- 8+ years in AI/ML architecture with proven experience in production-level quantum-inspired systems
- Expertise in PyTorch 3.0+ and TensorFlow Quantum frameworks
- PhD in Computer Science, Quantum Computing, or equivalent with published research in Nature/Science journals
- Deep understanding of post-quantum cryptography standards (NIST SP 800-208)
- Proficiency in neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Track record of deploying models achieving >99.9% accuracy on adversarial benchmarks
- Strong background in ethical AI governance frameworks (EU AI Act 2025, US AI Bill of Rights)
- Fluency in at least two quantum programming languages (Q#, Qiskit)