Senior Engineer, Deep-Learning & 3D Computer-Vision
Listed on Samsung Electronics’s official careers site. Listed as of October 17, 2026. Check that it is still open and apply there.
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Position Summary
Samsung Research IL is seeking for a skilled and innovative Senior Engineer – DL & 3D CV, to lead the development of next-generation computer vision, deep learning, and generative AI features. This role focuses on state-of-the-art solutions for advanced 3D machine vision and camera innovation, including 3d reconstruction/sensing/mapping, novel camera/image processing/enhancement and simulations. The engineer will join Samsung’s newly formed Camera Innovation R&D Team.
Our screening process
2 -3 professional peer interviews Hiring Manager Interview HR Interview Reference check Managing Director Interview Why Join Us?
- Opportunity to shape a newly structured research and innovation team.
- Opportunity to explore DL/3D CV/GenAI SOTA models and workflows
- Opportunities to publish research, generate IP, and influence long-term technology direction.
Role and Responsibilities Prototype/research/develop advanced DL/3D CV/GenAI algorithms for various use-cases such as camera imaging, robotics and simulation Manage the full lifecycle of DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions. Optimize models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints Guide the adoption of emerging technologies to elevate Samsung’s new solutions.
Stay at the forefront of developments in deep learning/computer vision/GenAI Contribute to technology roadmaps and R&D investment decisions
Skills and Qualifications
MSc/PhD in Physics/EE - must 8+ years of experience in DL/3D CV, with a proven track record of developing solutions from research to production - must Proven in-depth experience with at least one of the following:
- Diffusion-based GenAI
- Embodied AI
- DL-based CV/Image processing (e.g., segmentation, image restoration, monocular depth estimation)
- Vision-Language Models
- Physics Informed Neural-Networks (PINN) Strong programming skills in Python, PyTorch, and OpenCV Strong applied software engineering skills, with experience in agile methodologies and quality-driven development. Strong problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions.
Experience with rapid AI-first R&D Advantage
experience with theoretical physical modeling/ simulation Advantage: Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization.
Advantage
Extensive hands-on experience in developing and deploying DL-based software applications for camera systems, image processing, or video analysis.
Experience with simulators (Gazebo, Isaac Sim, Unity) and real-world testing.
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