
3. Senior 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.
Responsibilities:
- Advanced Algorithm Development: Lead the design, optimization, and implementation of cutting-edge computer vision and signal processing algorithms for autonomous driving perception systems.
- Real-world Evaluation & Optimization: Work closely with sensor hardware teams to evaluate measurements from real-world traffic data, identify algorithmic deviations, and continuously improve algorithm performance.
- Cross-team Collaboration: Act as a key liaison between the development team and other departments to ensure that new ideas and solutions are successfully transitioned into production-level software and hardware.
- Leadership in Research: Drive research and development efforts for robotics perception software products, with a focus on classification, segmentation, detection, tracking, and prediction algorithms.
- Pipeline Design: Lead the design and implementation of a high-performance and robust 3D perception pipeline, ensuring seamless integration between LiDAR, camera, and other sensor data sources.
Qualifications:
- Education: M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related fields.
- Experience: 5+ years of industry experience in developing computer vision and robotics perception algorithms.
- Programming Expertise: Advanced proficiency in Modern C++ (multi-threaded programming, software design patterns).
- Deep Understanding of Machine Learning: In-depth knowledge of machine learning techniques (SVM, decision trees, clustering, and more), particularly as applied to computer vision and autonomous driving.
- Mathematical & Statistical Expertise: Extensive knowledge of linear algebra, optimization techniques, probability, and statistics.
- Communication & Leadership: Excellent written and oral communication skills, with the ability to collaborate with diverse teams and lead projects.
Preferred Qualifications:
- Extensive experience with 3D point clouds from LiDAR, RADAR, or similar sensors.
- Expertise in robotic algorithms, including Kalman filters and other tracking methods.
- Deep learning experience for computer vision applications (e.g., object detection, segmentation).
- Experience in autonomous driving perception systems and understanding of the challenges of integrating multi-sensor data (LiDAR, cameras, RADAR).
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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