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Senior AGI Systems Architect

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

Job Description

We are pioneering the next generation of artificial general intelligence. As we approach the 2026 paradigm shift in machine cognition, Nexus Horizon Labs is seeking a visionary Senior AGI Systems Architect to lead the architectural design of our autonomous reasoning engines. You will define the blueprint for systems that learn, adapt, and operate with human-level complexity. If you are ready to architect the future of intelligence, we want to hear from you.

Why Join Us?

  • Work at the frontier of technology with a top-tier R&D team.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with a state-of-the-art San Francisco HQ.

Responsibilities

  • Architectural Leadership: Design scalable, fault-tolerant, and secure architectures for large-scale AGI models.
  • Model Integration: Oversee the integration of multi-modal learning systems into real-world applications.
  • Team Mentorship: Guide a team of machine learning engineers and researchers in best practices for model safety and efficiency.
  • Technical Strategy: Define technical roadmaps for the evolution of our neural networks over the next 3 years.
  • Performance Optimization: Minimize inference latency and maximize computational throughput for edge deployment.
  • Research Collaboration: Collaborate with academic partners to validate novel architectures.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years focused on Machine Learning and Deep Learning systems.
  • Technical Skills: Deep understanding of Transformer architectures, Reinforcement Learning, and Distributed Systems.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, and Kubernetes.
  • Problem Solving: Proven track record of solving complex, undefined problems in high-stakes environments.
  • Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

AGI Artificial General Intelligence Machine Learning Deep Learning Python PyTorch Distributed Systems System Architecture AI Safety Reinforcement Learning

Ready to Take This Challenge?

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