Staff, GPU Performance Engineer

Samsung Electronics

Remote

Quick summary

Work type: Remote
Location: San Jose, CA
Salary: $167,800–$251,800 / yr
Posted: 3 days ago
Closes: Sep 25, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k

This role $210k

$150k most similar roles pay here $263k

This role pays more than 59% of similar roles. Most pay $173,850–$235,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $205k 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 41 open roles on FindRole.

Listed pay typically runs $170,000–$225,000 across 41 roles with salary data.

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At a glance

TL;DR · Staff, GPU Performance Engineer

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Join our dynamic GPU Architect team as a Senior GPU Performance Engineer, where you will play a pivotal role in analyzing and optimizing the performance of our cutting-edge Xclipse GPU used in Samsung Galaxy smartphones. Your daily tasks include conducting detailed workload analysis, benchmarking various applications such as 3D graphics and machine learning, and collaborating with cross-functional teams to resolve performance issues. You will develop and maintain benchmarking tools using Python and C++, while staying current with industry trends like Vulkan APIs and new GPU architectures. Ideal candidates have a strong background in computer science or engineering, at least six years of relevant experience, expertise in 3D graphics pipelines, and a passion for delivering high-quality performance optimization solutions.

Skills

Python C++ Vulkan 3D graphics pipelines GPU architecture performance analysis tools ML workload analysis scripting languages automation frameworks CI/CD

What you'll do

Conduct in-depth workload analysis to identify GPU performance bottlenecks.
Develop benchmarking tools for measuring GPU performance on various workloads.
Optimize GPU performance across multiple benchmarks and industry standards.
Collaborate with cross-functional teams to resolve performance-related issues.
Stay updated with graphics technology trends and apply knowledge to improve GPU.

What we're looking for

6+ years of experience in computer science or related field with a bachelor’s degree.
Strong understanding of 3D graphics pipelines and game engines.
Experience in ML workload analysis and development.
Familiarity with graphics APIs such as Vulkan.
Proficient programming skills in Python and C++.
Excellent analytical and problem-solving skills for performance optimization.
Strong collaboration and communication skills, experience working cross-functionally.

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