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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI & Robotics Engineer (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? Nexus Future Labs is seeking a visionary Lead AI & Robotics Engineer to spearhead our next-generation autonomous systems. In this role, you will bridge the gap between neural networks and physical robotics, pushing the boundaries of what is possible in 2026 and beyond.

We are looking for a pioneer who doesn't just adapt to change but drives it. You will work on cutting-edge projects involving Agentic AI, advanced computer vision, and scalable infrastructure designed for the next decade.

Why join us?
We offer top-tier compensation, equity packages, and the opportunity to work on problems that shape the world.

Responsibilities

  • Architect and deploy scalable machine learning models for autonomous agents and industrial robotics.
  • Collaborate with hardware engineers to optimize real-time control loops and sensor fusion.
  • Lead the research and implementation of novel algorithms for predictive maintenance and anomaly detection.
  • Define technical roadmaps for AI infrastructure upgrades and cloud migration.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Ensure system scalability, security, and performance in high-stakes environments.

Qualifications

  • PhD or Master's degree in Computer Science, Robotics, or a related technical field.
  • 5+ years of experience in deep learning, machine learning, and software engineering.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience with robotics frameworks (ROS, ROS2) and simulation tools (Gazebo, Isaac Sim).
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Proven track record of leading technical teams and managing complex projects.

Required Skills

Python PyTorch TensorFlow Deep Learning Robotics ROS Kubernetes Cloud Computing Agile Methodologies

Ready to Take This Challenge?

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