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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Robotics Engineer

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Shape the Future of Autonomous Intelligence. Nexus Horizon Solutions is a pioneer in next-generation AI systems. We are seeking a visionary Senior AI & Robotics Engineer to join our elite R&D team in San Francisco. In this pivotal role, you will define the technical roadmap for our projects leading up to 2026 and beyond.

As a Senior Engineer, you will move beyond theoretical research to build robust, scalable machine learning models and robotics frameworks. We need a problem solver who thrives in ambiguity and is passionate about deploying intelligent agents that can interact seamlessly with the physical world. If you are ready to lead the charge in the future of technology, we want to hear from you.

Responsibilities

  • Architect Scalable Systems: Design, develop, and deploy advanced deep learning and reinforcement learning models for autonomous decision-making systems.
  • Robotics Integration: Integrate AI algorithms with hardware components, ensuring real-time performance and reliability in dynamic environments.
  • R&D Leadership: Lead research initiatives to explore cutting-edge technologies in NLP, Computer Vision, and Generative AI.
  • Prototype Development: Build and iterate on high-fidelity prototypes that validate novel AI concepts before full-scale production.
  • Optimization: Optimize existing models for speed, accuracy, and resource efficiency on edge devices and cloud infrastructure.
  • Collaboration: Work closely with cross-functional teams to translate complex technical requirements into actionable engineering solutions.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML, Robotics, or a similar advanced technical domain.
  • Technical Stack: Proficiency in Python, C++, and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Specialization: Strong background in Neural Networks, Reinforcement Learning, or Computer Vision.
  • Problem Solving: Demonstrated ability to debug complex systems and deliver innovative solutions in fast-paced environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Robotics Computer Vision Reinforcement Learning C++ Deep Learning AWS Cloud Computing

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