Senior Engineer, Performance Architecture

Samsung Semiconductor•San Jose, CA

4d•$138,000 - $206,000•Onsite

About The Position

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! We are looking for a Senior Engineer, Performance Architecture. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Requirements

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.

Responsibilities

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