Job Description
Join NeuroTech Innovations at the forefront of 2026's AI revolution. We're seeking visionary AI Infrastructure Architects to design next-generation neural networks that will power humanity's most critical systems. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with Nobel Prize-winning researchers in our state-of-the-art quantum-enabled labs.
Our ideal candidate thrives at the intersection of machine learning, quantum computing, and distributed systems. You'll architect solutions that push the boundaries of what's possible, developing frameworks for autonomous systems that will redefine industries from healthcare to space exploration.
What You'll Experience:
- Revolutionary work with 1000-qubit quantum processors
- Collaboration with pioneers in neuromorphic engineering
- Competitive equity in a pre-IPO AI unicorn
- Flexible hybrid work with unlimited R&D budget
Responsibilities
- Design and implement quantum-accelerated AI training pipelines
- Architect fault-tolerant distributed neural networksDevelop real-time inference systems for edge-to-cloud deployment
- Create ethical AI governance frameworks for autonomous systems
- Lead cross-functional teams in building AGI safety protocols
- Optimize neural architectures for quantum-classical hybrid computing
- Research novel algorithms for 6G-integrated AI applications
Qualifications
- PhD in Computer Science/AI or equivalent with 8+ years experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Published research in top-tier AI/quantum journals
- Proficiency in PyTorch/TensorFlow with 100M+ parameter models
- Deep understanding of neuromorphic computing principles
- Experience with distributed systems (Kubernetes, Ray)
- Strong background in AI ethics and alignment research
- Track record of deploying production-grade AI systems at scale