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Principal Architect: AI & Quantum Evolution (2026)

Horizon 2026 Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are at the precipice of a technological singularity. Horizon 2026 Systems is not just building software; we are architecting the infrastructure that will define the next decade. We are looking for a visionary Principal Architect to lead our mission in developing scalable, self-evolving AI systems and quantum-ready frameworks.

In this role, you will bridge the gap between theoretical future tech and practical engineering. You will shape the architecture of our flagship product, ensuring we are future-proof for the rapid advancements in 2026 and beyond.

Responsibilities

  • Design and implement high-performance distributed systems capable of handling petabyte-scale AI workloads.
  • Lead the architectural vision for integrating Generative AI models with edge computing environments.
  • Optimize algorithms for quantum processing units and hybrid classical-quantum architectures.
  • Mentor senior engineering teams and establish best practices for code quality and system scalability.
  • Collaborate with cross-functional teams to define technical roadmaps and deliver innovative solutions ahead of market trends.
  • Conduct rigorous system performance testing and security audits to ensure resilience against emerging cyber threats.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in AI/ML infrastructure or quantum computing.
  • Master’s degree in Computer Science, Physics, or a related field (PhD preferred).
  • Deep proficiency in Python, Go, and Rust, with experience in containerization technologies (Kubernetes/Docker).
  • Strong understanding of machine learning frameworks (TensorFlow, PyTorch) and distributed database systems.
  • Experience with cloud platforms (AWS, GCP) and serverless computing architectures.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Go Rust Kubernetes Docker TensorFlow PyTorch AWS GCP Quantum Computing Machine Learning Distributed Systems System Architecture

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