We are looking for the best. At 42dot, our team of skilled Machine Learning Engineers is dedicated to pioneering cutting-edge solutions in Motion Planning algorithms. We specialize in researching and developing advanced algorithms for predicting future paths, essential for ensuring the safety of autonomous driving systems. Leveraging extensive datasets, we conduct in-depth analysis of driving patterns to design algorithms that enable smooth and natural control of autonomous vehicles. Our commitment lies in delivering innovative technologies that pave the way for the future of autonomous driving.
Responsibilities
- Research and development of motion prediction algorithms for autonomous driving, focusing on vehicles and pedestrians.
- Exploring predictive algorithms, prototyping, and validating models for data-driven driving algorithms.
- Deploying models to autonomous driving systems, optimizing and improving algorithm performance.
- Collaborate with Perception/Planning engineers to enhance self-driving performance.
- Develop evaluation indicators and systems to assess the effectiveness of developed algorithms.
Qualifications
- Minimum of 7 years of relevant experience.
- A master's/doctor's degree or equivalent in computer science, electronics, or related fields.
- Deep understanding and experience in self-driving systems and deep learning models.
- Strong understanding of vehicle dynamics models.
- Superior programming skills in languages such as C/C++ and Python.
- Mathematical reasoning ability related to probability.
Preferred Qualifications
- Experience in research and development related to autonomous driving and robotics.
- ROS1/ROS2 experience.
- Experience deploying predictive models in real-world environments.
- Inference optimization experience with TensorRT and CUDA programming.
- History of publications or academic activity in fields like CVPR, ICCV, ECCV, IROS, ICRA, etc.
Please refer to the videos from KCCV 2022 and UMOS Day 2021 for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. Learn more about How To Work In 42dot and 42dot's Employee Engagement Program, About Employee Engagement Program.