Job Description
We are on the cutting edge of tomorrow. Nexus Horizon Solutions is seeking a visionary Senior AI Infrastructure Architect to design and implement the foundational technology stack for 2026 and beyond. You will be at the forefront of integrating Generative AI, Neuro-symbolic reasoning, and Edge Computing to build systems that are not just smart, but self-evolving.
In this role, you won't just maintain legacy systems; you will architect the future. We are looking for a technologist who thrives in ambiguity and is obsessed with performance, scalability, and the convergence of hardware and software intelligence.
Why Join Us?
- Work on the 2026 Technology Roadmap defining the next generation of AI infra.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to bleeding-edge hardware for testing and prototyping.
Responsibilities
- Architect the 2026 Stack: Design resilient, distributed AI systems capable of handling exabyte-scale data processing in real-time.
- Neuro-Symbolic Integration: Bridge the gap between deep learning and symbolic AI to create explainable, reliable AI models.
- Edge AI Optimization: Develop lightweight inference engines that run on next-gen Edge devices and IoT networks with zero latency.
- 6G Network Architecture: Collaborate with network engineers to integrate AI-driven traffic management and edge intelligence into 6G protocols.
- Performance Tuning: Optimize kernel-level interactions and memory management to push the boundaries of computational efficiency.
- Team Leadership: Mentor a team of brilliant engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- 10+ years of experience in software architecture, specifically within high-scale AI or distributed systems.
- Deep expertise in Rust, Go, or C++ for systems programming.
- Proven track record of deploying production-grade LLMs (Large Language Models) and generative AI frameworks.
- Experience with containerization (Docker/Kubernetes) and serverless architectures.
- Familiarity with quantum computing interfaces or neuromorphic hardware concepts is a major plus.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.