Senior AI Compiler Engineer, MLIR
Nvidia
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How this pay compares to similar roles
This role pays more than 61% of similar roles. Most pay $162,000–$245,851 — the shaded band above. At the midpoint, this role pays about $219k versus about $204k for comparable roles.
Based on 240 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
Engineering Manager, AI Compiler Analysis will lead and mentor a technical team focused on verifying AI compilers for next-generation deep learning workloads like LLMs and agentic systems. The role involves owning the verification of the full compiler stack and execution pipeline while defining formal-verification requirements for transformations, tensor semantics, and numerical behavior. You will drive the use of advanced techniques including symbolic reasoning, formal methods, fuzzing, static analysis, and automated debugging to ensure production confidence. Key technical competencies include experience with MLIR, TensorRT, XLA, Triton, PyTorch, or JAX, alongside a deep understanding of computation graphs and tensor operations. This role addresses the complex challenge of ensuring compiler quality at the intersection of machine learning frameworks, numerical computing, and large-scale systems engineering to support high-performance GPU programs for training and inference.
What does a Engineering Manager earn in California?
Median $290250 from 64 postings across 19 companies.
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