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A leading autonomous driving technology company in Singapore is seeking a seasoned engineering leader to drive semantic scene mapping projects. This role involves managing a skilled team and deploying solutions to improve self-driving vehicles’ localization capabilities. Candidates should have at least 7 years of software engineering experience and expertise in machine learning frameworks, including TensorFlow and PyTorch. Successful candidates will be adept communicators and exhibit a strong track record in developing ML solutions for autonomous technologies.
On our Map Semantics team, you will have the opportunity to work with world‑class ML engineers, whose mission is to make self‑driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi‑modal data, enabling mapping and real‑time localization. These objects include lane lines, stoplights, traffic signs and other structures in the built environment. We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast‑growing company.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.