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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI & Robotics Engineer (2026 Vision)

Horizon 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to shape the technological landscape of the 2026 era? Horizon 2026 is at the forefront of next-generation artificial intelligence and robotics. We are seeking a visionary Lead AI & Robotics Engineer to spearhead the development of autonomous systems that will redefine human-machine interaction.


In this role, you won't just maintain existing systems; you will build the foundation for tomorrow. You will work with a world-class team of data scientists, engineers, and ethicists to deploy scalable neural networks and robotic frameworks. If you are passionate about the future and possess the technical prowess to make it happen, we want to hear from you.

Responsibilities

  • Architect and deploy advanced deep learning models for autonomous navigation and decision-making in dynamic environments.
  • Lead the R&D team in exploring cutting-edge technologies such as neuromorphic computing and quantum AI interfaces.
  • Optimize real-time data pipelines ensuring low-latency performance for critical robotic operations.
  • Establish ethical guidelines and safety protocols for AI deployment in physical environments.
  • Collaborate cross-functionally with product managers to translate complex algorithms into user-friendly applications.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Robotics, or a related technical field.
  • 10+ years of experience in AI, Machine Learning, or Robotics engineering.
  • Proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or ROS (Robot Operating System).
  • Proven track record of deploying large-scale machine learning systems in production environments.
  • Strong understanding of hardware-software integration and sensor fusion technologies.

Required Skills

Python C++ PyTorch TensorFlow ROS Machine Learning Deep Learning Robotics AI Ethics Data Engineering

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