Job Description
Join Nexus Systems at the forefront of 2026's technological revolution as we pioneer next-generation AI infrastructure. We seek an AI Infrastructure Architect to design and implement scalable, quantum-resistant computing frameworks that will power the next decade of innovation. This role offers the unique opportunity to shape the digital landscape through cutting-edge research and hands-on implementation in a dynamic, forward-thinking environment.
Responsibilities
- Design and deploy distributed AI computing architectures using quantum-resistant protocols
- Optimize neural network training pipelines for exascale computing environments
- Lead security audits of AI infrastructure against 2026 threat vectors
- Develop edge-to-cloud hybrid computing solutions for real-time AI inference
- Architect federated learning systems across global data centers
- Mentor junior engineers in emerging quantum computing paradigms
- Collaborate with research teams on neuromorphic computing implementations
Qualifications
- 10+ years in high-performance computing with 5+ years in AI infrastructure
- Expertise in Kubernetes, TensorFlow, and PyTorch at enterprise scale
- Advanced certification in quantum-resistant cryptography (e.g., CRYSTALS-Dilithium)
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Published research in IEEE/ACM journals on distributed AI systems
- Proficiency in Rust and Go for low-level infrastructure development
- PhD in Computer Science or equivalent practical experience