Job Description
Shape the technological landscape of 2026 as NeuroTech Systems' pioneering AI Infrastructure Architect. We're revolutionizing human-machine interaction through quantum-entangled neural networks, and we need visionary engineers to build the backbone of tomorrow's digital ecosystem. Join our Austin-based hub where cutting-edge research meets scalable implementation, and help architect systems that will power the next decade of AI innovation.
Responsibilities
- Design and implement quantum-optimized AI infrastructure supporting real-time neural processing
- Architect hybrid cloud-edge computing frameworks for 10,000+ concurrent AI agents
- Develop fault-tolerant data pipelines processing petabytes of multimodal sensory data
- Create zero-trust security protocols for distributed neural network architectures
- Lead integration of neuromorphic computing hardware with traditional silicon infrastructure
- Optimize AI resource allocation across quantum-classical hybrid systems
- Document infrastructure blueprints for 2026 regulatory compliance frameworks
Qualifications
- 10+ years in high-performance computing with quantum computing certification
- Expertise in distributed systems architecture (Kubernetes, Terraform, AWS/Azure)
- Published research in quantum machine learning or neuromorphic engineering
- Proficiency in Python/C++ for low-level infrastructure optimization
- Experience scaling AI systems to 100,000+ concurrent workloads
- Familiarity with 2026 emerging tech standards (ISO/IEC 23053)
- PhD in Computer Science or equivalent with AI specialization