Job Description
Join QuantumLeap Dynamics at the forefront of 2026 technological evolution. We're seeking an AI Systems Architect to design next-generation autonomous frameworks that will redefine industries worldwide. This role offers unparalleled opportunity to pioneer quantum-computing-integrated neural networks and shape the future of human-AI collaboration. Our culture combines Silicon Valley's relentless innovation with deep technical rigor, offering competitive equity, unlimited learning stipends, and flexible remote-first work.
You'll architect solutions for climate modeling, predictive healthcare analytics, and autonomous transportation systems while mentoring a global team of researchers. We provide cutting-edge hardware access to quantum processors and neuromorphic chips, ensuring you have the tools to transform theoretical breakthroughs into real-world impact.
Responsibilities
- Design and implement hybrid AI-quantum computing systems for 2026-era autonomous infrastructure
- Lead development of federated learning frameworks across global quantum networks
- Architect ethical AI governance protocols for next-generation neural networks
- Optimize computational efficiency for exascale data processing using neuromorphic hardware
- Collaborate with Nobel laureates and MIT research partners on breakthrough AI paradigms
- Develop predictive models for climate-resilient smart cities
- Mentor cross-disciplinary teams in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI Systems, or Computational Physics with 5+ years industry experience
- Expertise in quantum machine learning algorithms and error correction protocols
- Published research in Nature/Science journals on AI-quantum integration
- Proficiency in Qiskit, TensorFlow Quantum, and Cirq frameworks
- Deep understanding of tensor processing units and neuromorphic architectures
- Certification in quantum ethics and responsible AI governance
- Experience leading $10M+ R&D initiatives in autonomous systems