Senior Engineer, Machine Learning Application Developer

Samsung Electronics

Remote

Quick summary

Work type
Remote
Location
San Jose, CA
Salary
$124,000–$208,400 / yr
Posted
3 days ago
Closes
Sep 25, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $166k
$108k most similar roles pay here $277k

This role pays less than 87% of similar roles. Most pay $186,375–$246,150 — the shaded band above. At the midpoint, this role pays about $166k versus about $216k 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 43 open roles on FindRole.

Listed pay typically runs $167,800–$220,000 across 43 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Senior Engineer, Machine Learning Application Developer

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As a Machine Learning Application Developer at Samsung’s GPU Architect team, you will develop neural rendering applications and optimize machine learning software to enhance the execution of AI workloads on premium mobile GPUs. Your daily tasks include analyzing performance bottlenecks, optimizing API-level software for Vulkan, OpenGL, and OpenCL, and collaborating with hardware and architecture teams to improve resource utilization. You will leverage C++, Python, and low-level programming techniques to implement ML operators such as GEMM and convolution, ensuring efficient GPU usage across various workloads. This role requires a strong background in computer science or engineering, proficiency in machine learning frameworks like PyTorch and TensorFlow, and experience with assembly-level analysis for optimization. Joining this team means contributing to cutting-edge technologies that drive the future of mobile computing, working within a collaborative global environment focused on innovation and continuous improvement.

Skills

C C++ Python Vulkan OpenGL OpenCL PyTorch TensorFlow GPU Assembly GEMM Convolution Activations Performance Profiling Low-Level Optimization Neural Rendering CI/CD

What you'll do

  • Develop neural rendering applications and ML software to optimize GPU execution.
  • Analyze performance and hardware resource utilization to identify bottlenecks.
  • Collaborate with GPU architects, software engineers, and hardware teams for optimization.
  • Use low-level performance analysis techniques to enhance GPU efficiency.
  • Stay current with advancements in machine learning, neural rendering, and GPU technologies.

What we're looking for

  • 3+ years of experience in Computer Science or related field with a Bachelor's degree.
  • Strong programming skills in C, C++, and Python.
  • Proficiency with Vulkan, OpenGL, OpenCL, PyTorch, and TensorFlow APIs.
  • Experience developing neural rendering applications at the API level.
  • Understanding of GPU hardware architecture and low-level performance optimization.
  • Ability to analyze and optimize machine learning workloads for efficiency.
  • Working knowledge of assembly-level analysis preferred.

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