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Information Technology 🏒 Full Time ⭐️ Verified

Senior Future Systems Architect (2026 Vision)

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

Job Description

Join the Architects of Tomorrow

Nexus Horizon Labs is at the forefront of defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior Future Systems Architect to lead our R&D division in designing scalable, resilient, and intelligent infrastructure. You will be responsible for bridging the gap between current capabilities and the revolutionary advancements anticipated in 2026, including advanced AI integration, quantum-ready cloud architectures, and sustainable high-performance computing.

If you are passionate about shaping the digital future and possess a deep understanding of next-gen technologies, we want to hear from you.

Responsibilities

  • Architect Future-Proof Infrastructure: Design and implement scalable system architectures capable of supporting the computational demands of 2026, including edge computing and decentralized networks.
  • Predictive AI Integration: Lead the integration of advanced predictive AI models into core business systems to drive autonomous decision-making and efficiency.
  • Roadmap Strategy: Define the technical roadmap for the 2026 release cycle, ensuring alignment with emerging standards in quantum computing and synthetic data.
  • High-Performance Computing: Oversee the migration to next-gen hardware architectures, optimizing for speed, energy efficiency, and reliability.
  • Cross-Functional Leadership: Collaborate with data scientists, security experts, and product managers to translate future trends into actionable technical requirements.

Qualifications

  • Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field. Ph.D. preferred for research-oriented roles.
  • Experience: 10+ years of experience in systems architecture, with at least 3 years leading large-scale cloud infrastructure projects.
  • Technical Proficiency: Deep expertise in Generative AI, Large Language Models (LLMs), and Neural Network optimization.
  • Emerging Tech: Familiarity with quantum computing concepts, mesh networks, and blockchain infrastructure.
  • Leadership: Proven track record of mentoring engineering teams and driving technical vision in a fast-paced environment.

Required Skills

Systems Architecture AI Integration Quantum Computing Cloud Infrastructure Python Rust Machine Learning Kubernetes Docker Microservices

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