This role pays less than
59%
of similar roles. Most pay
$176,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
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.
As a Senior AI Compiler Engineer, MLIR, you will join the team responsible for building an MLIR-based AI compiler that powers the inference engine end to end. Your daily responsibilities include developing MLIR-based graph representations and optimizations for future GPU architectures while partnering with framework and hardware teams to enable new model patterns and architectural features. You will define APIs and MLIR dialects, conduct performance analysis, implement compiler optimizations, and perform kernel generation for neural networks. The role requires proficiency in C++, Python, MLIR, XLA, and LLVM. Candidates should possess experience in performance analysis, compiler optimizations, and GPU kernel generation. This position focuses on the technical challenge of optimizing inference across data center and edge environments by improving performance, build speeds, and memory usage for deep learning models like those found in generative AI and vision systems.