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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Robotics Engineer

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the future of human-machine interaction? Nexus Horizon Systems is seeking a visionary AI Robotics Engineer to join our elite R&D team in San Francisco. As we race towards the year 2026, we are building autonomous systems that will redefine efficiency and capability.

In this role, you will be at the forefront of integrating cutting-edge artificial intelligence with physical robotics. You will work on scalable architectures that power next-generation smart environments, ensuring our solutions are robust, ethical, and scalable.

Responsibilities

  • Architect and deploy advanced machine learning models for robotic perception, navigation, and decision-making.
  • Collaborate cross-functionally with hardware engineers to optimize robotic platforms for real-time AI processing.
  • Design and implement simulation environments to test and validate robotic behaviors in virtual spaces.
  • Conduct rigorous performance testing and debugging of AI systems in dynamic, real-world scenarios.
  • Mentor a team of talented engineers and drive technical excellence within the AI division.
  • Stay abreast of the latest breakthroughs in computer vision, reinforcement learning, and edge computing.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Minimum of 5 years of professional experience in AI, machine learning, or robotics engineering.
  • Expert proficiency in programming languages such as Python, C++, and ROS (Robot Operating System).
  • Strong background in computer vision, sensor fusion, and SLAM (Simultaneous Localization and Mapping).
  • Demonstrated experience deploying models on edge devices and embedded systems.

Required Skills

Python C++ ROS Machine Learning Computer Vision Robotics AI Edge Computing Deep Learning

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