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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI & Robotics Specialist

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

We are seeking a visionary Future-Ready AI & Robotics Specialist to join our elite team in San Francisco. As we pioneer the technological landscape for the 2026 era, we need an engineer who can seamlessly bridge the gap between advanced artificial intelligence and physical robotics.

In this pivotal role, you will spearhead the development of autonomous systems designed to operate in complex, real-world environments. If you are passionate about the future of tech and possess a deep understanding of next-generation computing, this is your opportunity to shape the industry.

Responsibilities

  • Lead the architectural design of autonomous robotics systems aligned with the 2026 product roadmap.
  • Develop and optimize machine learning algorithms to enhance sensor fusion and real-time decision-making capabilities.
  • Collaborate with cross-functional teams to integrate AI models into physical hardware prototypes and edge devices.
  • Conduct rigorous testing and validation in simulated and real-world environments to ensure system reliability.
  • Stay ahead of emerging technologies and standards relevant to the 2026 era of computing.
  • Document technical specifications and provide mentorship to junior engineering staff.

Qualifications

  • Master’s degree in Computer Science, Robotics, or a related field (PhD preferred).
  • Minimum of 5 years of experience in AI, Machine Learning, or Robotics engineering.
  • Proficiency in programming languages such as Python, C++, and ROS (Robot Operating System).
  • Strong understanding of neural networks, computer vision, and sensor data processing.
  • Demonstrated ability to work in fast-paced, agile environments.
  • Experience with cloud infrastructure (AWS/Azure) for scalable AI deployment.

Required Skills

Python C++ Machine Learning Robotics Computer Vision ROS AWS Agile Neural Networks

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