Senior Performance Engineer
Nvidia
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How this pay compares to similar roles
This role pays less than 54% of similar roles. Most pay $148,731–$205,362 — the shaded band above. At the midpoint, this role pays about $172k versus about $177k for comparable roles.
Based on 240 similar postings.
Employer
Samsung Semiconductor is the global semiconductor business unit of Samsung Electronics, designing and manufacturing memory chips, logic semiconductors, and foundry solutions for a broad range of applications.
Samsung Semiconductor currently has 49 open roles on FindRole.
Listed pay typically runs $163,000–$253,000 across 49 roles with salary data.
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At a glance
Senior Performance Engineer The Senior Performance Engineer joins the STG group within the AGI Lab to address complex system-level challenges for AI/ML workloads. This role involves building and operating representative AI environments, including agentic workflows, distributed inference systems, and MoE deployments. You will collect workload traces and performance data to identify bottlenecks across compute, memory, communication, and scheduling resources while evaluating how emerging workloads interact with accelerator architectures. The position requires proficiency in Python and C++, along with experience using Nsight Systems and Nsight Compute to optimize workloads on NVIDIA GPU platforms. Candidates must possess a deep understanding of LLM inference and training systems, as well as familiarity with frameworks like PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, or Megatron-LM. You will collaborate on hardware-software co-design to improve the performance and scalability of next-generation AI infrastructure.
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