This role pays more than
72%
of similar roles. Most pay
$184,712–$246,150
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$215k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
Join our team of AI systems engineers at NVIDIA to develop cutting-edge technologies for accelerating AI inference. As a senior engineer, you will design and build innovative libraries, code generators, and GPU kernel technologies tailored for NVIDIA’s hardware architecture, focusing on efficient attention kernels, LLM inference runtimes, and domain-specific compilers. You’ll collaborate closely with cross-functional teams across deep learning frameworks, libraries, and GPU architectures to optimize high-impact AI workloads. Ideal candidates hold a master's degree in Computer Science or Electrical Engineering, preferably with PhDs, and have extensive experience in developing or using deep learning frameworks like PyTorch and TensorFlow, as well as expertise in inference engines such as vLLM and SGLang, machine learning compilers like Apache TVM, and GPU kernel development using CUDA C/C++.
Objective-C
Swift
C/C++
Kotlin
Operating System Fundamentals
Threading
Synchronization Primitives
Inter-Process Communication
Scheduling
CI/CD
Unit Testing
Integration Testing
Remote (Santa Clara, CA)22 days ago
$184,000–$287,500
Linux
C++
CUDA
Python
Rust
Bash
NVMe
Cloud
Virtualization
Container technologies
Computer Architecture
Data structures
Algorithms
PyTorch
JAX
Key-Value storage
File systems
Object storage systems
Vector Databases