Job Description
Join Quantum Leap Technologies at the forefront of 2026's technological revolution. We're seeking a visionary AI Systems Architect to design the next generation of autonomous decision-making frameworks that will redefine industries worldwide. In this pivotal role, you'll architect neural networks capable of predictive self-optimization, collaborate with quantum computing pioneers, and pioneer ethical AI governance protocols. Our Austin hub offers an unparalleled environment where bleeding-edge research meets real-world implementation.
As a cornerstone of our 2026 Innovation Division, you'll transform theoretical concepts into scalable solutions that power smart cities, autonomous systems, and human-AI symbiotic interfaces. We provide state-of-the-art resources, competitive equity packages, and the autonomy to explore uncharted territories in artificial intelligence.
Responsibilities
- Design and implement self-evolving AI architectures with predictive optimization capabilities
- Lead development of quantum-neural hybrid computing systems for 2026-era applications
- Architect ethical AI governance frameworks ensuring human-aligned autonomous decision-making
- Collaborate with cross-disciplinary teams to integrate AI solutions with IoT and biometric systems
- Research and implement next-generation neural network compression techniques for edge deployment
- Develop adaptive security protocols against AI vulnerability exploitation
- Document architectural blueprints and publish breakthrough research in peer-reviewed journals
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency in PyTorch/TensorFlow with experience in quantum computing APIs (Qiskit, Cirq)
- Published record in NeurIPS/ICML with demonstrable impact on production AI systems
- Deep understanding of AI ethics, bias mitigation, and explainable AI frameworks
- Experience architecting distributed systems processing petabyte-scale datasets
- Strong background in implementing AI safety protocols for autonomous systems
- Certification in quantum machine learning or equivalent practical experience