SoC Performance Modeling and Infrastructure Engineer

As a SoC Performance Modeling and Infrastructure Engineer at Samsung Research America, your primary responsibilities include developing the SoC model environment, crafting use case simulations, and integrating scripts to streamline debugging processes. You'll be expected to correlate system-level infrastructure with silicon and system measured data, ensuring the efficiency and effectiveness of our SoC architectures for future Galaxy products.

Candidates for the SoC Performance Modeling and Infrastructure Engineer position at Samsung Research America should hold a BSc, Masters, or PhD in Computer Science or Engineering. In addition, at least two years of experience in SoC development is necessary, along with proficiency in performance modeling tools and strong programming skills in languages such as C, C++, and Python.

Yes, having experience with simulation is crucial for the SoC Performance Modeling and Infrastructure Engineer role at Samsung Research America. This includes not just knowledge of performance modeling tools but also hands-on experience in developing complex cycle-accurate performance models, which are vital for optimizing SoC designs.

The base salary range for the SoC Performance Modeling and Infrastructure Engineer position at Samsung Research America is between $151,200 and $207,750 USD. This competitive compensation reflects the skills and expertise required for this pivotal role in our lab.

As a SoC Performance Modeling and Infrastructure Engineer at Samsung Research America, you'll take on projects focused on developing new SoC architectures and features for next-generation mobile products. This involves collaborating with strategic partners and R&D teams to innovate solutions that enhance the performance of Samsung Galaxy devices.

Absolutely! Samsung Research America offers a comprehensive benefits package for the SoC Performance Modeling and Infrastructure Engineer position, which includes annual bonus eligibility, generous health benefits, and programs designed to motivate and engage exceptional talent across the organization.

Samsung Research America prioritizes diversity and inclusion in hiring for the SoC Performance Modeling and Infrastructure Engineer position, following an Affirmative Action and Equal Opportunity Employer policy. We welcome applicants from all backgrounds and ensure equal consideration without regard to race, color, religion, sexual orientation, gender identity, disability, or veteran status.

Performance modeling is critical in SoC development as it allows engineers to simulate various scenarios and predict how the new architecture will behave under different loads. It helps in identifying bottlenecks, optimizing resource allocation, and ensuring that the product meets the desired performance metrics before deployment.

In preparing for this question, you can mention specific industry-standard tools you've worked with, such as Synopsys, Cadence, or custom-built simulation environments. Be sure to discuss how these tools enhanced your modeling processes and your familiarity with each tool's strengths and weaknesses.

A structured approach to debugging in SoC modeling is essential. You should discuss how you identify the source of issues through systematic testing, leveraging scripts to automate diagnostics, and using visualization tools to analyze collected data effectively. Sharing specific examples can also demonstrate your problem-solving skills.

For this question, highlight your proficiency in programming languages relevant to SoC development, particularly C, C++, and Python. Provide examples of projects or tasks where you applied these languages, showcasing your coding skills in developing models or automating processes.

When answering this question, discuss a specific project where you faced significant challenges, whether due to technical complexities or project deadlines. Focus on how you approached these challenges, the role you played, and the results achieved, emphasizing the skills and knowledge gained through the experience.

Accurate correlation between model and silicon performance requires an understanding of the entire system architecture. You should discuss techniques you use to gather empirical data from silicon tests, validating and adjusting your models based on this data to ensure alignment and reliability.

For this question, share a specific instance where you identified inefficiencies within SoC development processes, outlining the steps taken to analyze and improve those processes. This could involve automating particular tasks or integrating new methodologies that increased overall efficiency.

Discuss your exposure to multi-core SoC architectures in this question, emphasizing any relevant projects that required optimizing performance across multiple cores. Explain how you approached the challenges that arise in such environments, including load balancing and power efficiency considerations.

It's crucial to stay current with SoC technology trends. In your response, mention industry publications, conferences, webinars, or online courses you engage with, and how they influence your work. Highlighting your network within industry circles can also demonstrate your proactive approach to professional development.

In answering this question, express your passion for innovation and technology, particularly in the mobile sector. Highlight your enthusiasm for working at Samsung Research America, focusing on the company's values, commitment to quality, and the opportunity to contribute to products that positively impact millions.