Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking visionary Senior AI Research Engineers to architect next-generation autonomous systems and quantum-ML hybrids. Collaborate with Nobel laureates in our Palo Alto R&D hub to redefine human-AI symbiosis. Enjoy cutting-edge resources, flexible work models, and equity in a pre-IPO scaling AI unicorn.
What you'll impact: Deploying AI agents that solve climate modeling, personalized medicine, and interstellar navigation challenges. Your code will power systems that process exabytes of real-time data while maintaining ethical AI governance.
Responsibilities
- Lead development of generative AI models for 2030-era autonomous decision frameworks
- Design quantum-resistant neural architectures for critical infrastructure protection
- Architect multimodal AI systems processing 10^12+ data points daily
- Publish breakthrough research in top-tier AI/quantum computing journals
- Mentor PhD-level researchers in cross-disciplinary AI ethics
- Optimize ML pipelines for edge computing in extreme environments
- Collaborate with NASA/JPL on space-exploration AI initiatives
Qualifications
- PhD in AI, Quantum Computing, or related field (or equivalent industry breakthrough)
- 5+ years implementing production-grade LLMs at scale (GPT-4 level+)
- Published research in Nature/Science on AI or quantum machine learning
- Expertise in quantum neural networks and decoherence-resistant algorithms
- Proficiency in PyTorch, TensorFlow Quantum, and Cirq frameworks
- Deep understanding of 2026-era AI governance frameworks (EU AI Act, NIST RMF)
- Experience deploying AI in aerospace, biotech, or climate modeling sectors