Senior Software Engineer

18 hours ago

Singapur, Singapore MOTIONAL SINGAPORE PTE. LIMITED Full time

In our Motion Planning team, you'll apply your passion for robotics and software development for production-ready autonomous vehicles. In this role, you'll perform groundbreaking research, conduct design processes, and implement performance-critical algorithms to generate safe, comfortable, and intuitive autonomous vehicle behaviors across Motional’s fleet of robotaxis. Technical Scope: Develop state-of-the-art motion planning algorithms to ensure the vehicle autonomously navigates safely and smoothly. Design and build robust and scalable software that enables rapid exploration and evaluation of different motion planning approaches and algorithms. Collaborate with upstream decision/behavior planning, prediction, and downstream motion tracking algorithms. Leverage modern development toolchains to enable rapid development cycles, including testing, simulation, and continuous integration. Role responsibilities: As a senior engineer, you will be expected to create project proposals that drive long-term technical roadmap and span multiple sub-systems. Actively contribute to technical team discussions on new features and formulation improvements and bring new ideas. Investigate on-road performance with root cause analysis and in-depth bug finding. Understands and explains trade-offs and complex concepts to peers and leaders to drive decisions. Mentor junior team members to develop a culture of product-focused engineering, research, and development. What we're looking for: 5+ years of modern C++ software development Bachelors, Masters, or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field. Experience with algorithm development in motion planning, navigation, or any robotics or safety-critical systems. Experience owning and leading technical development on features from problem formulation through algorithm design and implementation to delivery with impact. Bonus: Knowledge of Python Experience with Machine Learning based planning/control methods #J-18808-Ljbffr

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