Job Description
We are building the digital backbone for the year 2026. Nexus Core Systems is seeking a visionary Senior AI Infrastructure Architect to lead the deployment of next-generation neural networks and scalable cloud architectures. In this role, you will bridge the gap between theoretical AI models and robust, production-grade infrastructure. You will define the standards for high availability, low-latency processing, and ethical AI governance. If you are passionate about shaping the future of technology and want to work on projects that redefine industry standards, apply today.
Why Join Us?
- Competitive compensation package with equity.
- Remote-first culture with a hub in San Francisco.
- Access to cutting-edge hardware and GPU clusters.
- Professional development in AI governance and edge computing.
Responsibilities
- Architect and deploy scalable AI infrastructure capable of handling petabyte-scale data processing.
- Design fault-tolerant systems that ensure 99.99% uptime for critical AI workloads.
- Collaborate with data scientists to optimize model inference latency and resource efficiency.
- Implement security protocols and ethical AI guidelines to govern model training and deployment.
- Lead technical roadmaps for cloud migration and hybrid infrastructure strategies.
- Conduct code reviews and mentor junior engineers in best practices for DevOps and MLOps.
Qualifications
- 10+ years of experience in systems engineering, DevOps, or Infrastructure Architecture.
- Proven expertise in designing large-scale distributed systems using Kubernetes, Docker, and cloud providers (AWS, GCP, or Azure).
- Strong background in Python, Go, or Rust with a focus on performance optimization.
- Deep understanding of machine learning lifecycle, MLOps tools, and GPU orchestration.
- Experience with containerization and serverless architectures.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.