This role pays more than
82%
of similar roles. Most pay
$185,950–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
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
1391 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1116 roles with salary data.
As a Senior Compiler Optimization Engineer - MLIR on the Compute Compiler Team, you will work on core compiler components to accelerate general-purpose computation on GPUs for deep learning and scientific workloads. You will analyze application code performance using profiling tools, identify optimization opportunities within the MLIR and LLVM based compiler middle end, and implement novel ideas in the compilation pipeline to achieve best-in-class performance for AI workloads. Your daily responsibilities include designing new compiler passes, developing robust tools, and collaborating with the open-source LLVM community and distributed hardware teams. The role requires expert C++ programming skills, experience in loop, inter-procedural, and global optimizations, and a strong understanding of processor ISAs. You will leverage your expertise in MLIR, LLVM, Clang, and CUDA to solve complex problems in the deep-learning compiler technology space.