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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you ready to architect the next generation of intelligence? Nexus Future Systems is seeking a visionary Senior AI Infrastructure Architect to lead the development of our proprietary Agentic AI platform. We are building the foundational infrastructure for the 2026 era of autonomous systems.

In this pivotal role, you will bridge the gap between cutting-edge Deep Learning models and scalable, fault-tolerant cloud infrastructure. You will work alongside world-class researchers and engineers to optimize inference pipelines, manage massive GPU clusters, and ensure our systems are ready for the explosive growth of next-gen AI.

Why join us?

  • Shape the roadmap for the next decade of artificial intelligence.
  • Competitive compensation package with equity options.
  • Work with state-of-the-art tech stack and cutting-edge hardware.

Responsibilities

  • Design and implement high-throughput, low-latency inference pipelines for LLMs and Agentic workflows.
  • Architect scalable Kubernetes clusters optimized for GPU workloads (NVIDIA/A100/H100).
  • Drive optimization strategies including model quantization, distillation, and caching.
  • Collaborate with MLOps teams to ensure seamless CI/CD pipelines and model deployment.
  • Implement robust monitoring and alerting systems for distributed AI systems.

Qualifications

  • 5+ years of experience in software engineering with a focus on backend systems.
  • Strong proficiency in Python, C++, and GPU programming (CUDA/OpenCL).
  • Deep understanding of containerization (Docker, Kubernetes) and cloud providers (AWS/GCP).
  • Experience with large-scale machine learning infrastructure and distributed computing frameworks.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Required Skills

Python Kubernetes CUDA AWS MLOps Deep Learning System Design Docker H100 GPU

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