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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Robotics Engineer

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to define the technology of tomorrow?

Nexus Horizon Inc. is seeking a visionary Senior AI & Robotics Engineer to join our elite team. We are building the autonomous systems and cognitive architectures that will power the 2026 global landscape. If you thrive on solving complex problems at the intersection of machine learning, hardware, and software, we want to hear from you.

In this role, you will lead the development of next-generation neural networks and robotic control systems, pushing the boundaries of what is currently possible. You will work in a high-performance environment that encourages innovation and rapid prototyping.

Responsibilities

  • Lead R&D Initiatives: Architect and deploy advanced Machine Learning models and robotic control systems for 2026-ready platforms.
  • System Integration: Integrate AI algorithms with physical hardware to create seamless autonomous operations.
  • Model Optimization: Fine-tune neural networks for real-time performance, ensuring low-latency decision-making in dynamic environments.
  • Cross-Functional Leadership: Collaborate with software engineers, hardware specialists, and product managers to translate technical concepts into scalable solutions.
  • Prototype Development: Build and test proof-of-concept prototypes for autonomous agents and intelligent assistants.
  • Technical Mentorship: Guide junior engineers and researchers, fostering a culture of technical excellence and continuous learning.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Robotics, Artificial Intelligence, or a related field.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Experience: Minimum of 5+ years of experience in AI/ML development, with a focus on robotics or embedded systems.
  • Frameworks: Strong background in computer vision, natural language processing (NLP), or reinforcement learning.
  • Hardware Knowledge: Familiarity with microcontrollers, sensor fusion (LiDAR, RGB-D), and ROS (Robot Operating System).
  • Problem Solving: Ability to debug complex systems and optimize performance under strict constraints.

Required Skills

Python TensorFlow PyTorch Robotics Machine Learning AI ROS Computer Vision NLP Reinforcement Learning

Ready to Take This Challenge?

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