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Senior Staff Performance Engineer
Samsung Semiconductors · San Jose, CA · Posted 31 days ago
Define performance evaluation methodologies for AI/ML systems on cutting-edge semiconductor platforms handling the world's most demanding workloads.
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!
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
• Build and operate AI environments that reflect production workloads, including agentic workflows, distributed inference, disaggregated serving architectures, and MoE deployments.
• Collect workload traces, runtime telemetry, and performance data across the software stack from AI applications.
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This role centers on Performance Engineering, AI Systems, Distributed Systems, and Workload Characterization. There are 77 open roles at Samsung Semiconductors right now.
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