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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Systems Architect

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Future-Ready AI Systems Architect to lead our infrastructure initiatives in the rapidly evolving tech landscape of 2026. At Nexus Dynamics, we are not just predicting the future; we are building it.

In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, production-grade engineering. You will be responsible for architecting the next generation of computing environments, integrating quantum-ready protocols, and ensuring our systems remain at the forefront of innovation.

Why Nexus Dynamics?

  • Work with a world-class team solving humanity's hardest problems.
  • Competitive compensation and significant equity package.
  • Access to cutting-edge hardware and cloud resources.
  • A culture that rewards risk-taking and bold ideas.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure capable of supporting next-generation models.
  • Lead the architectural migration towards quantum-compatible computing environments for 2026.
  • Collaborate with data scientists and ML engineers to optimize model inference and reduce latency.
  • Establish best practices for security, compliance, and monitoring in distributed AI systems.
  • Mentor junior engineers and conduct code reviews to ensure technical excellence.
  • Define the technical roadmap for integrating emerging technologies like Neuromorphic computing.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in Machine Learning infrastructure.
  • Deep expertise in Python, Go, and Rust.
  • Proven experience designing systems on AWS, GCP, or Azure with a focus on Kubernetes and containerization.
  • Strong understanding of neural network architectures and distributed systems theory.
  • Experience with edge computing and real-time data processing.
  • Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Cloud Architecture Kubernetes Rust AWS GCP AI Deep Learning Distributed Systems Edge Computing

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