Job Description
Join NeuroDyne Systems at the forefront of the 2026 AI revolution! We're seeking a visionary Lead AI Engineer to architect next-generation neural networks that will redefine human-computer interaction. Lead our 2026 Initiative to develop autonomous reasoning systems, quantum-optimized machine learning models, and ethical AI frameworks. This is your opportunity to shape the technological landscape of tomorrow while working in our state-of-the-art Silicon Valley innovation lab.
Responsibilities
- Architect and deploy scalable AI systems for the 2026 autonomous reasoning pipeline
- Lead a cross-functional team of 8+ ML engineers and quantum computing specialists
- Develop novel neural network architectures using quantum-inspired algorithms
- Establish ethical AI governance frameworks for high-stakes decision systems
- Optimize model performance across hybrid quantum-classical computing environments
- Collaborate with neuroscientists to create brain-computer interface prototypes
- Drive innovation in explainable AI and federated learning methodologies
Qualifications
- 10+ years in AI/ML with 5+ years in lead architect roles
- PhD or equivalent in Computer Science/AI with quantum computing specialization
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Expertise in PyTorch/TensorFlow and quantum programming frameworks (Qiskit, Cirq)
- Proven track record deploying production AI systems at scale (10M+ users)
- Deep understanding of neuromorphic computing and cognitive architectures
- Strong background in AI ethics and regulatory compliance frameworks