Job Description
Join the Architects of the Future
Welcome to Orbital Systems Inc. We are not just building software for tomorrow; we are architecting the very fabric of the year 2026. As a leader in next-generation neural interfaces and autonomous robotics, we are seeking a visionary Senior AI & Robotics Integration Engineer to lead our core initiative in creating the world's most advanced human-machine collaboration systems.
In this role, you will bridge the gap between theoretical machine learning and physical hardware deployment. You will be instrumental in defining the technical roadmap that will define our trajectory for the next decade. If you are passionate about the convergence of AI, quantum computing, and robotics, this is your opportunity to leave a lasting legacy.
Responsibilities
- Lead R&D for Neural Interfaces: Design and implement cutting-edge generative AI models that facilitate seamless communication between human cognition and robotic systems.
- Optimize Edge Computing: Develop algorithms that run efficiently on constrained hardware, ensuring real-time processing for autonomous navigation and decision-making.
- System Integration: Collaborate with hardware engineers to integrate deep learning pipelines directly into next-generation robotics chassis.
- Scalability Strategy: Architect cloud-native infrastructure to support the massive data throughput required for training and deploying 2026-ready models.
- Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s degree in Computer Science, Robotics, or a related field (PhD preferred) with a focus on AI.
- Experience: 7+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and CUDA; experience with Kubernetes and Docker.
- Domain Knowledge: Strong understanding of robotics kinematics, sensor fusion, and real-time operating systems.
- Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.