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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Infrastructure Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are pioneering the infrastructure of tomorrow. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Infrastructure Architect to lead the development of scalable, high-performance systems designed for the 2026 technological horizon. In this role, you will bridge the gap between theoretical artificial intelligence and practical, quantum-ready deployment.

You will be at the forefront of innovation, working with a team of elite engineers and data scientists to build robust frameworks that power next-gen applications. If you are passionate about the future of technology and want to shape the digital landscape of the coming decade, this is your opportunity to make an impact.

Why Join Us?

  • Work on cutting-edge technology that defines the 2026 roadmap.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to lead architectural decisions that influence global standards.

Responsibilities

  • Design and implement scalable distributed systems optimized for AI workloads and quantum computing integration.
  • Architect microservices that ensure high availability, security, and low latency.
  • Collaborate with data science teams to translate complex algorithms into efficient, production-ready code.
  • Optimize database architectures and data pipelines for massive data throughput.
  • Lead code reviews, technical strategy, and mentorship for junior engineers.
  • Identify potential bottlenecks in the infrastructure and propose innovative solutions for the 2026 ecosystem.

Qualifications

  • 7+ years of experience in software engineering, with a focus on systems architecture and cloud infrastructure.
  • Strong proficiency in Python, Go, or Rust, with experience in C++ for performance-critical systems.
  • Deep understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Familiarity with quantum computing concepts, simulators, or early-stage quantum hardware environments.
  • Experience deploying machine learning models at scale using AWS, GCP, or Azure.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Go Rust C++ Kubernetes Docker AWS GCP Machine Learning Quantum Computing System Architecture CI/CD

Ready to Take This Challenge?

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