Job Description
Join Nexus Horizons at the forefront of tomorrow's revolution. As a 2026 Ecosystem Architect, you'll design and implement next-generation digital infrastructures that will redefine industries by 2026. We're seeking a visionary leader to spearhead our quantum computing integration, AI-driven automation frameworks, and decentralized network protocols. This role demands strategic foresight to anticipate technological convergence points and architect scalable solutions for Fortune 500 clients.
In our Austin innovation hub, you'll collaborate with Nobel laureates and Silicon Valley pioneers to pioneer solutions for climate modeling, personalized medicine, and sustainable urban planning. We offer unparalleled R&D resources, flexible work arrangements, and equity participation in groundbreaking ventures.
Responsibilities
- Design scalable 2026-ready architectures integrating quantum computing, blockchain, and neuromorphic systems
- Lead cross-functional teams in developing predictive AI models for 5-year technological forecasting
- Architect decentralized identity and data sovereignty frameworks for Web4.0 ecosystems
- Develop implementation roadmaps for carbon-negative tech adoption in industrial sectors
- Conduct vulnerability assessments for post-quantum cryptographic systems
- Partner with academic institutions to publish breakthrough research on human-AI symbiosis
- Drive innovation sprints for metaverse interoperability standards
Qualifications
- PhD in Computer Science, Quantum Computing, or Systems Engineering with 10+ years' experience
- Proven track record architecting production-level quantum-resistant security systems
- Expertise in federated learning frameworks and zero-knowledge proof implementations
- Published research in Nature/Science on AI ethics or computational neuroscience
- Experience leading $50M+ digital transformation projects in regulated industries
- Deep knowledge of ISO/IEC 21827 (SABSA) for risk-based architecture design
- Fluency in Rust, Python, and Q# for high-performance computing applications