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AI & Robotics Lead (2026 Visionary)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future? Nexus Horizon Systems is at the forefront of the 2026 technological revolution. We are seeking a visionary AI & Robotics Lead to design the autonomous neural frameworks that will define the next decade of human-machine interaction.

As a key leader in our Future-Tech division, you will not just build software; you will shape the ecosystem of tomorrow. You will be responsible for deploying next-generation algorithms that bridge the gap between artificial intelligence and physical robotics. If you thrive on solving complex problems at the edge of innovation, this is your opportunity to lead the charge into the 2026 era.

Why Join Us?

  • Impact: Work on projects that will redefine industry standards.
  • Freedom: A culture that encourages radical innovation and rapid prototyping.
  • Equity: Competitive stock options in a high-growth unicorn environment.

Responsibilities

  • Lead the architectural design and implementation of advanced AI models and robotic control systems for the 2026 product roadmap.
  • Spearhead research initiatives into autonomous decision-making and reinforcement learning for physical agents.
  • Collaborate with cross-functional teams of hardware engineers and data scientists to optimize system latency and efficiency.
  • Mentor and grow a high-performing team of machine learning engineers and researchers.
  • Ensure scalable, secure, and ethical deployment of AI solutions in real-world environments.
  • Define technical best practices and standards for future technology integration.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, or a related field (PhD preferred).
  • 5+ years of professional experience in AI/ML, Robotics, or Autonomous Systems.
  • Deep expertise in deep learning frameworks (TensorFlow, PyTorch) and robotics middleware (ROS 2).
  • Proven track record of leading engineering teams through the full product lifecycle.
  • Strong understanding of edge computing and real-time system constraints.
  • Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Robotics ROS 2 Machine Learning Deep Learning Edge Computing System Architecture

Ready to Take This Challenge?

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