Job Description
We are on the precipice of a technological revolution. As a Future Systems Architect at Nexus Horizon AI, you won't just build software; you will architect the foundational layers of the next generation of intelligent systems. This is a rare opportunity to lead a high-performance team dedicated to solving the complex challenges of the 2026 era and beyond.
In this role, you will bridge the gap between theoretical AI research and scalable, real-world infrastructure. You will be responsible for designing resilient, high-throughput systems that can handle the massive data loads generated by next-gen neural networks.
Why join us? We offer competitive compensation, equity packages, and the chance to work on projects that redefine the boundaries of human-computer interaction.
Responsibilities
- Design and implement scalable system architectures for next-generation AI workloads.
- Lead the migration of legacy systems to future-proof, quantum-ready infrastructure.
- Collaborate with cross-functional teams to define technical roadmaps for the 2026 timeline.
- Optimize system performance, latency, and reliability in cloud-native environments.
- Conduct architectural reviews and mentor junior engineers on best practices.
- Research emerging technologies including neuromorphic computing and edge AI.
Qualifications
- PhD or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in systems architecture, with a focus on AI/ML infrastructure.
- Deep expertise in distributed systems, microservices, and containerization (Kubernetes/Docker).
- Strong proficiency in Python, C++, or Rust.
- Experience with cloud providers (AWS, GCP, Azure) and serverless architectures.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.