Job Description
Join our elite team pioneering the 2026 Initiative—a groundbreaking project redefining next-generation computational ecosystems. We seek a visionary Systems Architect to design and deploy scalable, AI-infrastructure solutions for autonomous systems. This role demands cutting-edge expertise in quantum-resistant architectures and distributed neural networks, operating at the intersection of cybersecurity, machine learning, and edge computing. You'll lead cross-functional squads to architect resilient frameworks capable of processing exascale data in real-time, while ensuring compliance with emerging global tech standards.
Responsibilities
- Design quantum-safe infrastructure for autonomous fleet management systems
- Architect edge-computing frameworks supporting 10M+ IoT devices
- Lead implementation of federated learning networks across global data centers
- Develop zero-trust security protocols for AI-driven decision engines
- Optimize neural network pipelines for real-time anomaly detection
- Collaborate with quantum computing teams to hybridize classical-quantum architectures
- Define API standards for interoperable 2026 ecosystem components
Qualifications
- 10+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
- Expertise in Kubernetes, TensorFlow, and blockchain consensus protocols
- Certification in quantum-resistant cryptography (e.g., NIST PQC standards)
- Proven experience deploying systems processing >1 petabyte daily
- Mastery of C++ and Rust for high-performance computing environments
- Published research in IEEE/ACM on scalable neural networks
- Security clearance or ability to obtain Top Secret clearance