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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Architect the Future of Intelligence.

Nexus Horizon Technologies is defining the infrastructure landscape for the 2026 era. We are seeking a visionary Senior AI Infrastructure Architect to build the backbone of our next-generation neural processing platforms. You will work at the intersection of hardware and software, designing distributed systems that power autonomous agents and quantum-ready cloud environments.

This is not just a job; it is an opportunity to shape the paradigm of how machines learn and interact. You will ensure our high-performance computing clusters are resilient, secure, and optimized for the speed of thought.

Responsibilities

  • Design and deploy scalable Kubernetes-based MLOps pipelines capable of handling petabyte-scale data ingestion and model training.
  • Architect high-availability infrastructure integrating seamlessly with next-gen GPU clusters and AI accelerators.
  • Implement advanced Zero Trust security protocols for proprietary AI model weights and secure data lakes.
  • Optimize resource allocation and cost-efficiency across hybrid multi-cloud environments.
  • Mentor a team of elite engineers and drive architectural best practices across the organization.
  • Collaborate with Research Scientists to translate theoretical models into production-grade infrastructure.

Qualifications

  • 8+ years of experience in software engineering, with at least 4 years specifically in infrastructure and MLOps.
  • Expert proficiency in Python, Go, and Rust; deep understanding of systems programming.
  • Strong hands-on experience with Kubernetes, Docker, Helm, and Terraform.
  • Proven track record of designing fault-tolerant, high-throughput systems in cloud-native environments.
  • Experience with distributed computing frameworks (Apache Spark, Ray) and high-performance computing (HPC).
  • BS in Computer Science, Engineering, or equivalent practical experience.

Required Skills

Kubernetes Python MLOps Docker Terraform AWS GCP High-Performance Computing Distributed Systems Machine Learning

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