Image Signal Processing (ISP) Engineer

An Image Signal Processing (ISP) Engineer at Samsung Research America is tasked with designing classical and deep learning algorithms for video use cases, prototyping video processing systems and integrating them with existing simulators. You will also collaborate with R&D teams to explore technical requirements and develop solutions to challenges for next-generation mobile camera applications.

To qualify for the ISP Engineer role at Samsung Research America, candidates should hold a master's or PhD in Computer Science, Electrical Engineering, or Computer Engineering. Additionally, having a minimum of 3 years of ISP development experience in the industry is crucial, complemented by a deep understanding of ISP architecture.

Essential skills for an Image Signal Processing Engineer at Samsung Research America include hands-on experience with image and video processing algorithm design, proficiency in high- and low-level programming languages like Matlab, Python, and C, as well as familiarity with GPU/NPU or ARM Neon. Strong communication skills are also key for effective team collaboration.

Samsung Research America offers comprehensive compensation packages designed to engage talent, including annual bonus eligibility and generous benefits. Their commitment to work-life balance is reflected in their total rewards programs that motivate and support employees in living life well.

ISP Engineers at Samsung Research America work in a typical office setting, requiring standard office tasks such as desk work and communication with colleagues. The role promotes collaboration while encouraging creativity in addressing engineering challenges in mobile technology.

Certainly! When answering this question, highlight your specific experiences with various image signal processing algorithms you've developed or worked with, focusing on how they contributed to successful projects or improved processing efficiency.

It's beneficial to mention languages like Matlab, Python, and C. Explain how you’ve utilized these languages in past projects, perhaps by giving examples of algorithms you’ve implemented or problems you've solved using these tools.

When discussing a challenging problem, be specific about the issue, your approach to resolving it, and the outcome. Use the STAR (Situation, Task, Action, Result) method to frame your response for clarity.

To stay informed, I regularly read industry journals, attend webinars and workshops, and engage with professional communities. Sharing how you leverage these resources shows your commitment to professional growth.

Describe your experiences working within teams, emphasizing your collaborative skills. You could include examples of successful projects where teamwork was essential to achieving goals and how you contributed.

Discuss techniques like implementing multi-threading, Neon optimizations, and your experience with system architecture. Emphasizing a methodical approach shows a deep understanding of ISP challenges.

Definitely. Share any specific applications you've worked on where AI or deep learning improved imaging capabilities, as well as the outcomes of those implementations.

Your answer should delve into mobile-specific challenges and technologies, as well as your experiences addressing issues related to image quality and processing speed in mobile environments.

Pinpoint a specific achievement that showcases your technical skills or problem-solving abilities. Use metrics where possible to quantify your success, making your accomplishments more tangible.

Elaborate on your time management techniques, such as using project management tools or frameworks. Discuss how you ensure high-quality work while meeting deadlines, showcasing your organizational skills.