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Senior AI & Robotics Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Are you ready to architect the future? Nexus Future Labs is seeking a visionary Senior AI & Robotics Engineer to join our elite '2026 Vision' team. We are building the autonomous systems that will define the next decade of human-machine interaction. If you are passionate about pushing the boundaries of what is possible in Generative AI, Computer Vision, and robotic autonomy, we want to hear from you.

As a key player in our 2026 roadmap, you will lead the design and deployment of next-generation neural architectures. We offer a competitive compensation package, comprehensive benefits, and the opportunity to work on projects that literally change the world.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable machine learning pipelines and neural network architectures for autonomous robotics.
  • Lead R&D Initiatives: Spearhead research projects focused on reinforcement learning, NLP, and computer vision to meet the 2026 strategic goals.
  • Model Optimization: Optimize existing models for edge deployment on robotics hardware, ensuring low latency and high efficiency.
  • Cross-Functional Collaboration: Partner with hardware engineers and product managers to integrate AI solutions into physical systems seamlessly.
  • Ethical AI Oversight: Ensure all AI models adhere to strict safety protocols and ethical guidelines regarding autonomous decision-making.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on robotics or autonomous systems.
  • Technical Stack: Expert proficiency in Python, C++, and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Domain Knowledge: Deep understanding of robotics kinematics, sensor fusion, and SLAM (Simultaneous Localization and Mapping).
  • Problem Solving: Proven track record of solving complex, unstructured problems in high-stakes environments.

Required Skills

Python C++ TensorFlow PyTorch Robotics Computer Vision Deep Learning Machine Learning Autonomous Systems

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