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

Senior
CompanySamsung Austin Semiconductor
LocationAzrieli Building G, Herzliya, Israel
CategorySoftware Engineering
SenioritySenior
Workplace-
Posted2026-08-22
Estimated salary₪35K–42K (a market estimate, not the employer's figure)
Viaworkday

Description

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

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Prototype/research/develop advanced DL/3D CV/GenAI algorithms for various use-cases such as camera imaging, robotics and simulation

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Manage the full lifecycle of DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions.

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Optimize models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints

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Guide the adoption of emerging technologies to elevate Samsung’s new solutions.

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Stay at the forefront of developments in deep learning/computer vision/GenAI

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Contribute to technology roadmaps and R&D investment decisions

Skills and Qualifications

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MSc/PhD in Physics/EE - must

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8+ years of experience in DL/3D CV, with a proven track record of developing solutions from research to production - must

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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)

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Strong programming skills in Python, PyTorch, and OpenCV

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Strong applied software engineering skills, with experience in agile methodologies and quality-driven development.

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Strong problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions.

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Experience with rapid AI-first R&D

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Advantage : experience with theoretical physical modeling/ simulation

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Advantage: Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization.

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Advantage: Extensive hands-on experience in developing and deploying DL-based software applications for camera systems, image processing, or video analysis.

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

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