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Information Technology 🏒 Full Time ⭐️ Verified

Lead Evolutionary Systems Architect (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on the precipice of a technological singularity. At Nexus Horizon Labs, we are building the infrastructure that will define the year 2026 and beyond. We are seeking a visionary Lead Evolutionary Systems Architect to spearhead the development of our next-generation autonomous agents and quantum-ready frameworks.


In this role, you won't just be maintaining systems; you will be architecting the future of human-computer interaction and artificial general intelligence. If you thrive in ambiguity and are driven by the challenge of solving humanity's most complex computational problems, we want to hear from you.


Why Join Us?

  • Work on the bleeding edge of AI and predictive modeling.
  • Competitive equity and performance bonuses.
  • Flexible remote-first culture with a state-of-the-art SF hub.

Ready to shape the future? Apply today.

Responsibilities

  • Architect and deploy scalable neural network architectures capable of self-evolution.
  • Lead the transition to quantum-resistant cryptographic standards for 2026 infrastructure.
  • Define the roadmap for autonomous agent swarms and their interaction protocols.
  • Ensure system resilience, security, and ethical alignment across all deployed models.
  • Collaborate with cross-functional teams to integrate predictive analytics into real-time decision-making systems.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in full-stack systems engineering with a focus on AI/ML.
  • Proven expertise in Large Language Models (LLMs), Neural Architecture Search (NAS), and Generative AI.
  • Deep understanding of distributed systems, cloud computing (AWS/GCP), and edge computing.
  • Experience leading engineering teams and driving technical vision in a fast-paced startup environment.

Required Skills

Python PyTorch TensorFlow Distributed Systems Kubernetes AWS Machine Learning Neural Networks Quantum Computing System Architecture AI Safety

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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