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Information Technology 🏢 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexusMind Robotics
San Francisco
Salary Estimate
USD 180.000 – USD 260.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Are you ready to architect the future of autonomous intelligence? NexusMind Robotics is seeking a visionary Senior AI Engineer to join our core research and development team. We are pushing the boundaries of machine perception and generative neural architectures. In this role, you will build scalable models that power next-generation robotic systems, transforming complex data into real-world action.

You will work in a high-impact, collaborative environment where your code directly influences the trajectory of our product roadmap. We offer competitive equity, top-tier health benefits, and a culture of radical innovation.

Responsibilities

  • Design and train state-of-the-art deep learning models for computer vision and sensor fusion.
  • Collaborate with cross-functional teams to integrate AI capabilities into production-grade robotic hardware.
  • Optimize neural network architectures for low-latency inference on edge devices.
  • Conduct cutting-edge research to solve novel problems in reinforcement learning and pattern recognition.
  • Mentor junior engineers and promote best practices in MLOps and code quality.
  • Analyze large-scale datasets to derive actionable insights for model performance improvement.
  • Stay at the forefront of AI research by publishing internal white papers and attending global tech conferences.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative discipline.
  • 5+ years of hands-on experience building and deploying machine learning models in production environments.
  • Expert-level proficiency in Python and C++ with deep experience in PyTorch or TensorFlow.
  • Solid foundation in linear algebra, probability, and numerical optimization.
  • Experience with distributed training frameworks and cloud infrastructure (AWS/GCP).
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with robotic middleware, such as ROS2, is highly preferred.

Required Skills

Deep Learning PyTorch TensorFlow Computer Vision MLOps C++ Python Reinforcement Learning Edge AI

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