Senior Staff Engineer, GPU Architect, Machine Learning

Samsung Electronics

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$180,200–$297,200 / yr
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today
Closes
Jun 30, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $239k
$160k $312k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $196,750–$246,037 — the blue band above. At the midpoint, this role pays about $239k versus about $221k 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 85 roles with salary data.

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At a glance

TL;DR · Senior Staff Engineer, GPU Architect, Machine Learning

JOB TITLE: Senior Staff Engineer, GPU Architect, Machine Learning 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 at the intersection of GPU and machine learning design to enable efficient execution of large-scale AI models. Your daily responsibilities include analyzing and modeling representative ML workloads to identify bottlenecks, defining new GPU features, and improving hardware-software integration to optimize performance, power, and scalability. You will utilize skills in C++, Python, and ML frameworks like TensorFlow and PyTorch. The role focuses on advancing PPA for applications such as LLMs, LVMs, and image classification while integrating ML-driven hardware extensions into the graphics pipeline for next-generation intelligent computing.

What you'll do

  • Lead the design and development of innovative machine learning solutions for premium mobile GPUs.
  • Drive architectural innovation to enable efficient execution of large-scale AI models like LLMs and LVMs.
  • Analyze and model representative ML workloads to identify bottlenecks and uncover optimization opportunities.
  • Define new GPU features and hardware extensions that integrate with the graphics pipeline.
  • Improve middleware and hardware-software integration to optimize GPU architectures for ML workloads.
  • Translate ML insights into production-ready GPU designs and influence the long-term AI architecture roadmap.
  • Guide architectural trade-offs to maximize performance, power efficiency, and scalability.

What we're looking for

  • 10+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 8+ years with a Master’s, or 6+ years with a Ph.D.
  • Knowledge of machine learning principles, architectures, and frameworks like TensorFlow or PyTorch.
  • Knowledge of computer architectures, performance optimization, and the graphics pipeline.
  • Experience with workload analysis and modeling for LLMs, LVMs, and image classification.
  • Experience with GPU architecture and knowledge of computer vision algorithms, AR/VR, and Ray Tracing.
  • Strong programming skills in languages such as C++ or Python.
  • Ability to write clear technical specifications and possess strong analytical and problem-solving skills.
  • Applicants must be authorized to access information subject to U.S. export control laws.

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