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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Robotics Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the world of 2026? Nexus Future Systems is seeking a visionary Senior AI & Robotics Engineer to lead our cutting-edge initiatives. As we accelerate towards the future, we need an expert to architect the next generation of autonomous systems and neural networks.

In this pivotal role, you will be at the forefront of innovation, designing scalable AI architectures that define the technological landscape of the near future. You will collaborate with cross-functional teams to integrate machine learning models into complex robotic frameworks, ensuring our solutions are robust, ethical, and ready for deployment in 2026.

Why Join Us?

  • Work on mission-critical projects that will define the future of automation.
  • Access to state-of-the-art hardware and cloud infrastructure.
  • Competitive compensation and equity packages.
  • A collaborative environment fostering creativity and technical excellence.

Responsibilities

  • Architect and implement advanced AI algorithms and robotic control systems aligned with the 2026 roadmap.
  • Develop and optimize deep learning models for real-time decision making in dynamic environments.
  • Collaborate with hardware engineers to integrate AI software with physical robotic platforms.
  • Ensure system scalability, reliability, and security across all AI deployments.
  • Conduct research to stay ahead of emerging trends in Artificial General Intelligence (AGI) and robotics.
  • Mentor junior engineers and contribute to technical documentation and architecture reviews.

Qualifications

  • PhD or Master’s degree in Computer Science, Robotics, AI, or a related field.
  • 5+ years of professional experience in AI/ML, Robotics, or a similar technical domain.
  • Proficiency in programming languages such as Python, C++, and CUDA.
  • Strong experience with deep learning frameworks (TensorFlow, PyTorch) and ML libraries.
  • Proven track record of deploying AI models in production environments.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python C++ TensorFlow PyTorch Machine Learning Deep Learning Robotics CUDA Agile Agile Methodologies

Ready to Take This Challenge?

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