This role pays more than
68%
of similar roles. Most pay
$196,750–$254,750
— the shaded band above.
At the midpoint, this role pays about
$248k
versus about
$226k
for comparable roles.
Based on 240 similar postings.
Employer
About Samsung Electronics
Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.
Samsung Electronics currently has
94 open roles
on FindRole.
Listed pay typically runs
$106,000–$174,500
across 58 roles with salary data.
As a Senior Staff Engineer, GPU Architect, Machine Learning, you will join the GPU Architect team to lead the design and development of innovative machine learning solutions for premium mobile GPUs. You will drive architectural innovation by defining new features, analyzing workloads, and improving hardware-software integration to optimize performance, power efficiency, and scalability for large-scale AI models like LLMs, LVMs, and image classification. Your daily work involves collaborating with cross-functional teams to translate machine learning insights into production-ready designs while identifying bottlenecks and proposing data-driven solutions. You will utilize skills in C++, Python, and ML frameworks such as TensorFlow or PyTorch. The role focuses on the intersection of GPU and machine learning design, specifically addressing the technical challenges of integrating AI workloads into the graphics pipeline for next-generation intelligent computing devices.
Large Language Models
Python
PyTorch
TensorFlow
XGBoost
Natural Language Processing
Information Retrieval
Ranking and Relevance
Recommendation Systems
RAG
Prompt Engineering
C++
Java
A/B Testing
Feature Engineering
Deep Learning
Sequence Modeling