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Senior AI & Robotics Research Engineer (Project 2026)

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join the Architects of Tomorrow

Chronos Dynamics is at the forefront of the Project 2026 initiative—a revolutionary roadmap designed to integrate advanced artificial intelligence with autonomous robotics. We are seeking a visionary Senior AI & Robotics Research Engineer to lead the development of next-generation neural architectures capable of operating in complex, unstructured environments.

In this role, you will not just write code; you will define the future of human-machine interaction. You will work alongside world-class scientists to solve the most challenging problems in deep learning, reinforcement learning, and sensor fusion.

Why Join Us?

  • Work on cutting-edge technology that will define the 2026 landscape.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with access to state-of-the-art facilities.

Responsibilities

  • Lead Research & Development: Spearhead the design and implementation of novel neural network models tailored for high-speed robotics applications.
  • Algorithm Optimization: Optimize deep learning models for real-time inference on edge devices and high-performance computing clusters.
  • System Integration: Collaborate with hardware engineers to integrate AI models with robotic control systems and sensor arrays.
  • Mentorship: Guide a team of junior researchers and data scientists, fostering a culture of innovation and technical excellence.
  • Publications: Author and present high-impact research papers at top-tier AI and Robotics conferences.

Qualifications

  • Education: Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Experience: 5+ years of experience in AI/ML research, specifically in Deep Learning and Reinforcement Learning.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; strong understanding of GPU acceleration (CUDA).
  • Domain Knowledge: Proven track record of working on autonomous systems, computer vision, or natural language processing.
  • Soft Skills: Exceptional problem-solving abilities and strong communication skills for cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow Deep Learning Reinforcement Learning Robotics Computer Vision CUDA Kubernetes Agile Methodologies

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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