This role pays less than
68%
of similar roles. Most pay
$194,000–$254,750
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$224k
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
910 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 894 roles with salary data.
As a Senior Deep Learning Compiler Engineer - XLA, you will join the XLA team to develop compiler optimization algorithms for deep learning workloads. You will focus on optimizing inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. Your daily responsibilities include crafting optimization techniques for network graphs, designing graph partitioning and tensor sharding for distributed systems, performing performance tuning, and generating code for GPU backends. You will utilize technologies including C/C++, MLIR, LLVM, OpenAI Triton, XLA, and TVM while collaborating with hardware architecture teams to design features for next-generation GPUs. The role addresses the technical challenge of accelerating deep learning software by improving compiler performance and designing user-facing features in JAX and related libraries within a high-performance computing environment.