Job Description
Are you ready to define the landscape of the future? Horizon Dynamics is seeking a visionary Senior AI & Robotics Architect to spearhead our research and development initiatives for the 2026 era.
In this pivotal role, you will bridge the gap between theoretical artificial general intelligence (AGI) and practical, scalable robotic systems. You will work in a high-performance environment where your code will directly influence the next generation of autonomous agents and smart infrastructure. If you are passionate about pushing the boundaries of what machines can understand and do, we want to hear from you.
Why Join Horizon Dynamics?
- Impactful Work: Build technologies that will define the 2026 technological landscape.
- Competitive Compensation: Comprehensive benefits package including equity options.
- Cutting-Edge Tech: Access to state-of-the-art hardware and cloud infrastructure.
Responsibilities
- Design and implement scalable neural network architectures tailored for real-time robotics control and perception.
- Lead the R&D strategy for integrating Large Language Models (LLMs) into autonomous decision-making pipelines.
- Collaborate with cross-functional teams of hardware engineers, data scientists, and product managers to define technical roadmaps.
- Optimize model performance for edge computing environments to ensure low-latency response in dynamic settings.
- Conduct rigorous testing and validation of AI systems to ensure safety, reliability, and ethical compliance.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD in Computer Science, Robotics, or a related field with a focus on Artificial Intelligence.
- Minimum of 5+ years of professional experience in machine learning, deep learning, or robotics engineering.
- Proficiency in programming languages such as Python, C++, and TensorFlow or PyTorch.
- Deep understanding of reinforcement learning, computer vision, and natural language processing.
- Experience deploying AI models in production environments (cloud or edge) is highly preferred.
- Strong problem-solving skills and the ability to thrive in a fast-paced, innovative environment.