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# Senior Engineer, Performance Architecture

- **Company:** Samsung
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $138,000.0 - $206,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, High Performance Computing, Information Technology
- **Published:** July 26, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/86122206/1

## About the Role

* BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred.
 * Strong background in computer architecture
 * Experiences in developing and optimizing models for high-performance computing systems
 * Strong analytical and problem-solving skills
 * Excellent communication and interpersonal skills
 * Ability to work independently and as part of a team
 * You're inclusive, adapting your style to the situation and diverse global norms of our people.
 * An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
 * You're collaborative, building relationships, humbly offering support and openly welcoming approaches.
 * Innovative and creative, you proactively explore new ideas and adapt quickly to change.

## Description

* Model the architecture, performance, and power characteristics of Memory Centric Computing platforms
 * Develop and optimize models to explore a large design space.
 * Analyze various trade-offs within a design space, considering different architectural choices and workloads.
 * Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users
 * Conduct research and development in emerging technologies and trends in AI/ML workloads and Memory Centric Computing architectures
 * Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget, At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.


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