Job Description
Are you ready to architect the future?
Horizon 2026 Technologies is seeking a visionary Senior AI & Robotics Engineer to lead the development of next-generation autonomous systems designed for the year 2026 and beyond. We are building the infrastructure for tomorrow, and we need a technical expert to push the boundaries of what is possible in machine learning and robotics.
In this role, you will spearhead the research and deployment of advanced neural networks, working at the intersection of deep learning and hardware integration. You will be responsible for ensuring our AI models are scalable, efficient, and ready for real-world deployment in complex environments.
Horizon 2026 Technologies is seeking a visionary Senior AI & Robotics Engineer to lead the development of next-generation autonomous systems designed for the year 2026 and beyond. We are building the infrastructure for tomorrow, and we need a technical expert to push the boundaries of what is possible in machine learning and robotics.
In this role, you will spearhead the research and deployment of advanced neural networks, working at the intersection of deep learning and hardware integration. You will be responsible for ensuring our AI models are scalable, efficient, and ready for real-world deployment in complex environments.
Responsibilities
- Lead R&D: Spearhead the research and development of cutting-edge AI models, focusing on scalability and 2026 readiness.
- System Integration: Collaborate with hardware engineers to optimize AI inference on edge devices and robotic platforms.
- Technical Strategy: Define the technical roadmap for our AI infrastructure, ensuring alignment with long-term product goals.
- Team Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Performance Optimization: Continuously monitor and optimize model latency, accuracy, and resource consumption.
- Prototyping: Build rapid prototypes of AI-driven solutions to validate concepts before full-scale deployment.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- Experience: Minimum of 5 years of professional experience in AI/ML engineering, preferably in robotics or autonomous systems.
- Programming: Proficiency in Python, C++, and experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Knowledge: Strong understanding of computer vision, natural language processing, or reinforcement learning.
- Tools: Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Exceptional ability to solve complex, unstructured problems in high-pressure environments.