Engineer, Computational Imaging and Camera Algorithm

As an Engineer in Computational Imaging and Camera Algorithms at Samsung Research America, your primary responsibilities include developing innovative algorithms that enhance the mobile camera experience. This can involve leveraging AI and deep learning techniques for low-light photography, under-display cameras, and multi-frame computational imaging systems. Additionally, you'll need to prototype algorithms in languages like MATLAB, C/C++, and Python, while ensuring that they can be efficiently integrated into production systems.

To qualify for the Engineer, Computational Imaging and Camera Algorithm role at Samsung, you should hold a Ph.D. in Computer Science, Electrical Engineering, or a related field. At least one year of experience with deep learning frameworks is essential, alongside hands-on expertise in computational photography applications and algorithms. Knowledge of computer vision, image processing, and mobile system constraints will enhance your candidacy.

Absolutely! Experience with AI and computational imaging is crucial for the Engineer, Computational Imaging and Camera Algorithm position at Samsung. You'll be utilizing AI to improve multiple aspects of camera technology, so having prior hands-on experience in areas like semantic segmentation, motion-based computational imaging, and high frame rate processing will be highly beneficial.

For the Engineer, Computational Imaging and Camera Algorithm role at Samsung, familiarity with programming languages such as MATLAB, C/C++, and Python is highly desirable. You'll be expected to prototype algorithms and write high-quality code, so proficiency in these languages will be integral to your success in this position.

As an Engineer at Samsung's MPI Lab, you will engage in exciting projects that revolve around enhancing the mobile camera experience through innovative algorithm development. This includes working on AI-enhanced photography techniques, improving image restoration and understanding, and contributing to the overall R&D efforts that help shape future Samsung mobile products that reach millions of users globally.

When answering this question, focus on specific deep learning frameworks you have used, such as TensorFlow or PyTorch, and describe projects where you applied these frameworks to tackle imaging challenges. Highlight any results or improvements achieved through your work.

Discuss various algorithms you have worked with, such as those used for image denoising, HDR processing, or optical flow computation. Provide examples of how you implemented these algorithms in past projects and the impacts they had on the overall image quality.

Mention reputable journals, conferences, or online platforms where you keep abreast of industry developments. Discuss specific recent advancements that have caught your interest and how they could potentially influence your projects at Samsung.

Choose a project that highlights your problem-solving skills and technical expertise. Discuss the challenge you faced, the approach you took to overcome it, and the positive outcome it led to. This demonstrates your capacity to handle complex tasks in a collaborative environment.

Give a thoughtful perspective on the trends you see emerging in computational imaging, such as real-time AI processing for enhanced photo quality or new paradigms in computational photography. Tie this into how you envision contributing to these advancements at Samsung.

Discuss your approach to algorithm testing, including creating test scenarios, running performance metrics, and user feedback gathering. Highlight your experience with any testing frameworks and the importance of iterative testing to refine the algorithms.

Illustrate your teamwork skills with a specific example, detailing how you communicated, shared responsibilities, and contributed to the project. Mention any challenges faced and how the collaboration led to achieving your project’s objectives.

Elaborate on the strategies you use to optimize algorithms, such as reducing computational complexity, memory usage, or improving processing speed. Discuss balancing quality and performance in mobile settings, which is crucial for an Engineer at Samsung.

Explain how you assess mobile hardware limitations while designing your algorithms. Discuss your familiarity with mobile platforms and the importance of prototyping and iterative testing to ensure the feasibility of your designs.

Highlight the importance of user experience in your algorithm design philosophy. Discuss how you gather user feedback, understand user needs, and incorporate usability testing to ensure that the solutions meet or exceed user expectations.