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

About Us:

Samsung Research Israel (SRIL), part of Samsung Electronics (SET), operates at the forefront of technological innovation through its two main hubs: Advanced R&D & Open Innovation. These departments focus on developing cutting-edge technologies to shape the future of Samsung Electronics.

SRIL actively collaborates with Israeli high-tech companies and academic institutions to integrate cutting-edge solutions into Samsung’s products, while also developing innovative technologies in-house. We lead advanced research in artificial intelligence, optics, and machine learning, aiming to deliver world-class technology with a global impact.

We are 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

Apply via Workday attached link only

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.

Our Offering

• A chance to work on cutting-edge AI and computer vision technologies that directly influence Samsung’s products worldwide.
• Exposure to world-class researchers and engineers in a collaborative, innovation-driven environment.
• Access to advanced computing resources and imaginglabs.
• Flexible engagement suited to a PhD student or postdoctoral researcher.
• Mentorship, professional growth, and the opportunity to contribute to high-impact global R&D projects.

Please note that, throughout the interview process, we ask all candidates to refrain from sharing any confidential, proprietary, or trade-secret information belonging to their current or former employers or any other third party. We are interested in your skills, experience, and accomplishments, and ask that you describe them without disclosing information that is not yours to share.