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4 days ago
This role entails designing, developing, and integrating cutting-edge navigation systems for autonomous vehicles in complex environments.
- A senior-level engineer with extensive experience in robotics, ROS2, sensor fusion, and navigation algorithms is required to develop and optimize motion planning systems for dynamic obstacle avoidance and trajectory generation.
The ideal candidate will have a strong background in linear algebra, probability theory, and optimization. Proficiency in programming languages such as C++ and Python, with a focus on ROS2 development, is also essential.
- Bachelor's or master's degree in Robotics, Computer Science, Electrical Engineering, or a related field is mandatory.
We are looking for an experienced engineer who can design and implement advanced navigation algorithms, including path planning, localization, and mapping. The candidate should be proficient in state estimation methods such as Kalman Filters (KF), Extended Kalman Filters (EKF), and Particle Filters.
- Familiarity with real-time systems and embedded software development is desired.
The selected candidate will work closely with cross-functional teams to ensure system-level integration. They will also be responsible for mentoring junior engineers and contributing to building a high-performing team.
- Experience with simulation tools like AWSIM, Gazebo or CARLA for testing navigation systems is highly valued.
As a senior navigation engineer, you will play a critical role in driving the development of innovative navigation solutions. If you have a passion for robotics and AI, we encourage you to apply for this challenging position.
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