Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we architect the future of AI-driven systems. We're seeking visionary AI Systems Architects to design next-generation neural networks that will redefine industry standards by 2026. This hybrid role combines deep technical expertise with strategic foresight, requiring candidates who thrive at the intersection of machine learning, quantum computing, and human-centric design.
As a cornerstone of our R&D division, you'll collaborate with Nobel laureates and industry disruptors to prototype solutions that address global challenges. Our Austin campus offers unparalleled resources including quantum computing clusters and neuromorphic hardware accelerators.
Responsibilities
- Design scalable neural architectures for 2026-era quantum-classical hybrid systems
- Lead cross-functional teams in implementing ethical AI frameworks for autonomous decision-making
- Develop patent-pending algorithms for real-time cognitive computing applications
- Architect secure-by-design systems compliant with evolving quantum-resistant standards
- Translate complex technical concepts into actionable roadmaps for executive stakeholders
- Mentor junior researchers in next-gen AI paradigms including neuromorphic computing
Qualifications
- PhD in Computer Science/AI with 5+ years of quantum computing integration experience
- Published research in Nature/Science journals on neural network optimization
- Expertise in TensorFlow Quantum and Cirq frameworks
- Proven track record deploying systems at petabyte-scale with sub-millisecond latency
- Security clearance for DoD-level AI projects preferred
- Fluency in Python, Rust, and quantum assembly languages
- Portfolio showcasing 3+ breakthrough AI implementations solving real-world problems