Senior Machine Learning Engineer - Computer Vision and Perception

Under the mission of "Making Robots Intelligent," Seoul Robotics is developing the best perception technology for autonomous driving. We are looking for talented software engineers who can design, implement, and productize technologies that precisely perceive the world by fusing data from various sensors such as LiDAR and cameras.

As a senior engineer, you will be expected to design a 3D perception pipeline that works robustly even in complex and unpredictable real-world situations, going beyond simple feature implementation. We are looking for someone who can solve various and challenging edge cases based on technical depth, from lightweighting deep learning models to synchronizing data from numerous sensors, and elevate the team's engineering standards to the next level.

• →Design and lead high-performance perception architectures utilizing numerous LiDAR/camera sensors.
• →Research and productize (Prototyping to Production) the latest computer vision and deep learning papers (CVPR, ICCV, IROS, etc.).
• →Advance multi-sensor fusion (LiDAR-LiDAR, LiDAR-Camera) algorithms and resolve complex edge cases.
• →Lead code reviews and design reviews, and provide technical mentoring for junior engineers.
• →Analyze system performance bottlenecks and establish optimization strategies utilizing various techniques including hardware acceleration (e.g., CUDA, TensorRT).
• →Collaborate with product teams and other departments to define technical requirements and support roadmap establishment.

• Bachelor’s degree or higher in a related field with 5+ years of professional engineering experience (or equivalent Master’s/Ph.D. research experience).
• Experience in developing AI/ML-centric high-performance commercial software and deploying to production.
• Deep understanding of deep learning frameworks (PyTorch, etc.) and inference optimization.
• Expertise in 3D geometry, calibration, state estimation, SLAM, etc.
• Excellent problem-solving skills to debug and resolve complex system issues.
• Experience leading technical decision-making at a team level.
• Fluent English communication skills.

• Experience in full-stack autonomous driving development.
• Experience developing precise calibration algorithms between heterogeneous sensors.
• Experience optimizing deep learning models on embedded systems (e.g., NVIDIA Jetson).
• Experience contributing to open source projects or publishing papers in major conferences in related fields.
  
  

Application Review - Assignment - Tech Interviews - CEO Screening - Reference Check - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)