Job Description
Join Horizon 2026 Dynamics, a leading innovator in next-generation autonomous mobility. We are on a mission to redefine transportation by the year 2026. As a Senior Autonomous Systems Architect, you will be at the forefront of developing the complex algorithms and sensor fusion technologies that power the autonomous vehicles of tomorrow. We are looking for visionaries who thrive in high-pressure, high-impact environments and are ready to build the infrastructure for a safer, self-driving future.
Why Join Us?
We offer a competitive benefits package, equity opportunities, and the chance to work on cutting-edge technology that will shape the way the world moves.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of robust computer vision and perception pipelines for real-time object detection in complex urban environments.
- Sensor Fusion: Develop advanced algorithms to integrate data from LiDAR, radar, and camera arrays, ensuring unparalleled environmental awareness.
- Path Planning & Control: Engineer efficient, safe, and dynamic path-planning logic that allows autonomous fleets to navigate unpredictable traffic scenarios.
- Simulation & Validation: Lead the creation of high-fidelity simulation environments to rigorously test and validate safety protocols before deployment.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of technical excellence and continuous innovation.
Qualifications
- Education: Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field (PhD preferred).
- Experience: Minimum of 8 years of professional software engineering experience, with at least 4 years specifically focused on robotics, autonomous vehicles, or embedded systems.
- Technical Stack: Proficiency in Python, C++, and ROS (Robot Operating System). Experience with deep learning frameworks (TensorFlow, PyTorch) is required.
- Domain Knowledge: Deep understanding of SLAM (Simultaneous Localization and Mapping) and state estimation techniques.
- Problem Solving: Exceptional ability to troubleshoot complex, multi-variable systems and deliver scalable solutions under tight deadlines.