Machine Learning Compiler Engineer
Qualcomm
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How this pay compares to similar roles
This role pays less than 53% of similar roles. Most pay $185,300–$238,250 — the shaded band above. At the midpoint, this role pays about $208k versus about $212k 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
Staff Engineer, Compiler joins the AGI Computing Lab to address complex system-level challenges for AI/ML workloads. This role focuses on developing scalable platforms that manage high computational and memory requirements while optimizing performance and energy consumption. You will adapt torch.compile to the internal backend by lowering Inductor's IR, building or extending kernel DSLs like Triton or Helion, and designing placement and scheduling passes for distributed memory models. Key responsibilities include implementing parallelism-aware lowering, fusion, tiling, and memory planning for non-uniform memory hierarchies. The role requires expertise in MLIR, XLA, TVM, Inductor, IREE, or CUTLASS, along with experience building PyTorch backends for non-CUDA accelerators. You will also contribute to open-source projects including PyTorch, Triton, and LLVM/MLIR. This position solves critical bottlenecks in executing large-scale AI models across diverse hardware components.
What does a Engineer earn in California?
Median $208000 from 94 postings across 22 companies.
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