Senior Engineer, Deep-Learning & 3D Computer-Vision

Position Summary

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.

• Advantage: Experience with simulators (Gazebo, Isaac Sim, Unity) and real-world testing.

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