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This is a full-time, on-site role located in either Singapore or Kuala Lumpur for a Software Engineer (Autonomy). At Wingfin, our deep learning models provide the foundation for safe, reliable driving. However, the real world is full of "long tail" events—unstructured construction zones, complex hand signals from a traffic officer, or unique local maneuvers. While the vast majority of driving events are handled autonomously by our models with a high degree of safety and precision, remote takeover provides additional support to the models to handle extremely complex situations.
As a Software Engineer (Autonomy), you will work on the real-time embedded systems that act as the vehicle's bridge to human expertise. You will also be working on the research, design, and development of computer and network software or specialised utility programs related to remote takeovers. You will collaborate closely with Control Engineers to integrate complex control systems, ensuring that remote commands are translated into smooth, safe, and deterministic vehicle motion. This role requires experience working on autonomous vehicle systems and related software stack.
Key Responsibilities
You will be working on the following:
About You
You will require the following skills to be successful in this role.
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WINGFIN SINGAPORE PTE. LTD.
Our mission is rooted in accessibility: human-like autonomy for safe, cost-efficient, real-world scalability. By leveraging cutting-edge deep learning and end-to-end neural networks, Wingfin is redefining the landscape of self-driving technology.
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