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Senior AI & Robotics Engineer | 2026 Vision

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are seeking a visionary Senior AI & Robotics Engineer to join our elite team in Austin, Texas. As we architect the technological landscape for the year 2026, you will be at the forefront of developing next-generation autonomous systems and advanced machine learning models. This is a rare opportunity to build the future of intelligent automation.

Why Join Us?

At Nexus Future Labs, we don't just predict the future; we build it. You will work with state-of-the-art hardware and neural networks to solve complex problems in real-time environments. We offer a competitive salary, equity packages, and the chance to define the standard for AI in the coming decade.

Responsibilities

  • Design and deploy scalable autonomous AI agents capable of complex decision-making in dynamic environments.
  • Optimize deep learning models for edge computing devices and high-performance robotics hardware.
  • Lead research initiatives in Generative AI and reinforcement learning to advance our 2026 roadmap.
  • Collaborate with cross-functional teams of hardware engineers, data scientists, and product managers.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Ensure system reliability, security, and scalability of all AI deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Robotics, or a related field.
  • 5+ years of professional experience in Machine Learning, AI, or Robotics.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong mathematical foundation in linear algebra, calculus, and probability.
  • Experience with large language models (LLMs) and transformer architectures.
  • Demonstrated ability to lead technical projects from conception to production.

Required Skills

Python Machine Learning AI Robotics PyTorch TensorFlow C++ Deep Learning Neural Networks Autonomous Systems

Ready to Take This Challenge?

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