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Senior AI & Robotics Architect | Shaping the Future 2026

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

Job Description

Are you ready to define the technological landscape of 2026 and beyond? At Nexus Horizon Systems, we aren't just building software; we are architecting the future. We are looking for a visionary Senior AI & Robotics Architect to lead the development of next-generation autonomous agents and neural architectures. If you are passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and robotics, this is your opportunity to leave a lasting legacy.


We offer a competitive compensation package, equity options, and a remote-first culture that empowers innovation. Join us in building the systems that will define the era of 2026.

Responsibilities

  • Lead Architecture Design: Spearhead the design and implementation of cutting-edge AI models and robotic control systems, focusing on scalability and real-time processing.
  • Autonomous Agent Development: Build and optimize autonomous agents capable of complex, multi-step decision-making in dynamic environments.
  • Neural Network Optimization: Engineer efficient neural architectures to reduce latency and improve inference speeds for edge deployment.
  • R&D Collaboration: Work closely with our research team to translate theoretical breakthroughs into production-ready code and hardware integration.
  • System Integration: Integrate AI solutions with legacy systems and hardware platforms to create seamless human-machine interfaces.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Robotics, Machine Learning, or a related quantitative field.
  • Experience: Minimum 7 years of professional experience in AI/ML engineering, with a strong portfolio demonstrating success in large-scale projects.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
  • Specialized Knowledge: Deep understanding of Reinforcement Learning, Natural Language Processing (NLP), and Computer Vision.
  • Problem Solving: Proven track record of solving complex engineering challenges in high-pressure environments.
  • Communication: Exceptional ability to communicate technical concepts to both technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow C++ Neural Networks Reinforcement Learning NLP Computer Vision System Architecture AI/ML Engineering

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