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AI & Robotics Engineer (Year 2026)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Are you ready to engineer the future? Apex Horizon Systems is at the forefront of defining the technological landscape of 2026. We are seeking a visionary AI & Robotics Engineer to join our elite R&D division. In this role, you will not just build software; you will architect the intelligence that drives autonomous systems and next-generation human-machine interfaces.

Our mission is to bridge the gap between current capabilities and the possibilities of the near future. You will work with cutting-edge hardware and software stacks, collaborating with world-class researchers to deploy scalable AI solutions that will define the industry standards for the coming decade.

Why join us?
We offer a competitive benefits package, equity packages, and the opportunity to work on projects that matter. If you are passionate about pushing the boundaries of what is possible, we want to hear from you.

Responsibilities

  • Architect and implement advanced machine learning models for autonomous robotics and predictive analytics.
  • Optimize neural network performance for real-time decision-making in dynamic environments.
  • Collaborate with hardware engineers to integrate AI inference engines directly into robotic platforms.
  • Conduct research and prototyping for emerging technologies relevant to the 2026 roadmap.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Ensure system scalability, security, and reliability across distributed cloud-edge environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Robotics, or a related field with a focus on AI.
  • Minimum of 5 years of professional experience in AI/ML engineering and software development.
  • Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of computer vision, natural language processing, or reinforcement learning.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python C++ TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Robotics Computer Vision Reinforcement Learning

Ready to Take This Challenge?

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