Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking an AI Systems Architect to design next-generation neural networks that will redefine human-machine collaboration. As a key innovator in our Austin R&D hub, you'll architect scalable AI frameworks for autonomous systems, quantum-computing hybrids, and predictive analytics platforms. This is your opportunity to shape the digital landscape of tomorrow while working alongside Nobel laureates and Turing Award winners in our state-of-the-art innovation campus.
Our team operates at the intersection of neuroscience, quantum physics, and advanced machine learning, developing solutions that will power the next decade of breakthroughs. We offer unparalleled resources, flexible work arrangements, and a culture where unconventional thinking isn't just encouraged—it's expected.
Responsibilities
- Design and implement hybrid AI-quantum computing architectures for real-time data processing
- Lead development of ethical AI governance frameworks for 2026 regulatory compliance
- Architect neural networks with adaptive learning capabilities for dynamic environments
- Collaborate with quantum computing teams to optimize machine learning algorithms
- Develop predictive models for autonomous system decision-making in edge computing scenarios
- Create secure distributed AI systems with blockchain-integrated verification protocols
- Present breakthrough architectures to C-suite executives and venture capital partners
Qualifications
- PhD in Computer Science, AI, or Quantum Physics with 5+ years industry experience
- Expertise in TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq)
- Published research in top-tier AI/quantum journals (NeurIPS, Nature Quantum)
- Proven track record designing AI systems processing 10TB+ data streams daily
- Deep understanding of 2026-era cybersecurity protocols for AI infrastructure
- Experience with neuromorphic computing and brain-computer interface architectures
- Certification in Quantum Machine Learning from recognized institutions