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Information Technology 🏒 Full Time ⭐️ Verified

2026 Systems Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are looking for a visionary 2026 Systems Architect to join Nexus Horizon, a leading think-tank developing the infrastructure for the next decade. In this role, you will bridge the gap between theoretical future-tech and practical engineering, leading the charge in implementing next-gen AI architectures and quantum-resistant systems.

Why You Should Apply:

  • Impactful Work: Architect the backbone of systems that will define the technological landscape for years to come.
  • High-Performance Culture: Work alongside top-tier engineers in a dynamic, fast-paced environment.
  • Equity & Benefits: Competitive salary package with performance-based stock options and comprehensive health benefits.

Responsibilities

  • Strategic Architecture: Design and oversee the deployment of scalable, distributed systems optimized for next-generation hardware (e.g., neuromorphic chips).
  • AI Integration: Lead the integration of Large Language Models (LLMs) and generative AI agents into core infrastructure pipelines.
  • Future-Proofing: Continuously evaluate emerging technologies and propose architectural improvements to maintain system longevity.
  • Team Leadership: Mentor a diverse team of engineers, conducting code reviews and establishing technical best practices.
  • Security & Resilience: Implement robust security protocols to safeguard critical data against evolving cyber threats.
  • Collaboration: Partner with product and research teams to translate futuristic concepts into deployable software solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related technical field.
  • Experience: 10+ years of experience in systems engineering, with at least 3 years in a lead or architectural role.
  • Technical Proficiency: Deep expertise in Python, Rust, or Go; experience with container orchestration (Kubernetes/Docker).
  • AI/ML Knowledge: Strong understanding of neural networks, model optimization, and AI-driven system design.
  • Problem Solving: Ability to troubleshoot complex issues in high-availability environments.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts.

Required Skills

Systems Architecture Python Rust Go Kubernetes AI/ML System Design Cloud Infrastructure Leadership Big Data

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