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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Tech Focus)

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the technological landscape of 2026 and beyond? Nebula Dynamics is seeking a visionary Senior AI Systems Architect to lead our next-generation neural infrastructure initiatives.

We are building the engines of tomorrow, focusing on autonomous agents and predictive modeling. In this pivotal role, you will bridge the gap between theoretical AI research and scalable enterprise solutions, ensuring our platforms remain at the forefront of innovation.

Why Join Us?
β€’ Shape the future of AI with a world-class team.
β€’ Competitive equity package and top-tier benefits.
β€’ Work in a dynamic, remote-first culture with quarterly in-person summits.

Responsibilities

  • Design and implement scalable AI architectures for autonomous systems and predictive modeling.
  • Oversee the deployment of next-gen machine learning models in high-availability production environments.
  • Collaborate with quantum computing researchers to integrate hybrid algorithms.
  • Mentor junior engineers and establish best practices for AI safety, ethics, and transparency.
  • Analyze system performance metrics to optimize throughput and reduce latency in real-time data streams.
  • Drive R&D initiatives focusing on General AI concepts and edge computing.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in software engineering, machine learning, and distributed systems.
  • Deep expertise in Python, TensorFlow, PyTorch, and Rust.
  • Experience with cloud platforms (AWS, GCP) and containerization (Kubernetes, Docker).
  • Strong understanding of neural networks, natural language processing, and reinforcement learning.
  • Proven track record of leading technical projects from concept to global delivery.

Required Skills

Python Machine Learning TensorFlow PyTorch Cloud Computing System Architecture AI Safety Docker Kubernetes

Ready to Take This Challenge?

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