This role pays more than
59%
of similar roles. Most pay
$159,000–$230,200
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$195k
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
899 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 886 roles with salary data.
As a Senior Systems Software Engineer - Machine Learning, you will join a collaborative team of engineers and scientists to convert research into real products rather than just notebooks or slide decks. You will be responsible for building workflows to diversify and populate datasets, shipping machine learning pipelines quickly, and integrating LLM, VLM, and agentic systems into data generation pipelines. The role involves defining evaluation criteria and running offline evals before production deployment. To succeed, you must possess a strong mathematical foundation, expertise in computer vision and deep learning, and proficiency in Python and C/C++ within Unix/Linux environments. You will solve complex problems involving multi-agent pipelines, inference latency, and cost-per-call tradeoffs while developing robust software engineering fundamentals to move models from research into production-ready features for real users.
Machine Learning
Deep Learning
Generative AI
Diffusion Models
Large Language Models (LLMs)
Vision-Language Models (VLMs)
World Foundation Models
Synthetic Data
Model Compression
Quantization
CUDA
Triton
Isaac Sim
Computer Vision