4. Algorithm Engineer - Computer Vision
Seoul Robotics is an autonomous driving company with a mission to solve first and last-mile logistics challenges, backed by a team of industry experts from Google, NVIDIA, Coupang, Continental, Porsche, and GM.
This position offers a great opportunity to advance your professional career in the cutting-edge autonomous robotics industry, where AI is embedded at the core of the product.
With members from over 10 different countries, you have the chance to work in a unique international environment in the heart of Seoul, where English is our primary language.
Our global clients provide opportunities to work overseas in various areas in Asia and the US.
We are seeking talented and motivated engineers to join our growing team in developing cutting-edge autonomous driving solutions. As a Computer Vision Algorithm Engineer, you will play a critical role in building and optimizing our 3D perception pipeline, integrating LiDAR and camera data, and contributing to the development of our advanced robotics and autonomous driving technologies.
Responsibilities:
- Algorithm Development & Testing: Design, simulate, and implement signal processing algorithms for computer vision and robotics perception tasks.
- Data Evaluation: Work with real-world traffic data (LiDAR, camera) to evaluate the performance of algorithms and suggest optimizations.
- Collaboration: Support senior engineers in integrating new algorithms and solutions into our autonomous driving products, ensuring seamless software and hardware interaction.
- Simulation and Evaluation: Assist in the development and integration of software utilities for algorithm simulation, testing, and performance evaluation.
- Pipeline Development: Contribute to the design and implementation of our 3D perception pipeline for object detection, tracking, and classification tasks.
Qualifications:
- Education: B.S. or M.S. in Computer Science, Robotics, or related fields.
- Programming: Strong proficiency in C++ (including multi-threading and modern software design patterns).
- Machine Learning Fundamentals: Familiarity with fundamental machine learning techniques (e.g., SVM, clustering, tree-based models).
- Mathematics: Solid understanding of linear algebra, optimization, and statistics.
- Communication Skills: Ability to clearly communicate ideas and solutions, both orally and in writing.
- Experience: 1-3 years of industry experience with computer vision in autonomous driving, robotics, or related fields (internships or research experience are also valued).
Preferred Qualifications:
- Experience working with 3D point cloud data from LiDAR and/or radar sensors.
- Familiarity with Kalman Filter-based tracking algorithms.
- Experience in deep learning for computer vision tasks (e.g., object detection, segmentation).
Benefits
▷ Diversity - International Team (10+ Nationalities)
▷ Flexible work hours
▷ Hybrid work
▷ 10 days paid sick leave
▷ Daily meal support
▷ No dress code
▷ Premium health check (Once a year)
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