Senior Staff Engineer, GPU Architect, Machine Learning

Samsung
San Jose, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$198,200.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence C++ (Programming Language) Computer Programming Computer Engineering Middleware Python (Programming Language) Machine Learning Performance Tuning Tensorflow Systems Integration Graphics Processing Unit (GPU) Pytorch
+4 more
Large Language Models IT Architecture Information Technology Ray Tracing

Job description

As a Senior Staff GPU Architect - Machine Learning, you will help lead the design and development of innovative machine learning (ML) solutions for Samsung’s premium mobile GPUs.

In this high-impact individual contributor role, you will drive architectural innovation at the intersection of GPU and machine learning design to enable efficient execution of large-scale AI models. You will collaborate across hardware, software, and research teams to define new GPU features, analyze workloads, and deliver architectures that advance performance, power efficiency, and scalability for next-generation intelligent computing.

  • You are passionate about architecting and defining ML-driven hardware features and extensions that integrate seamlessly with the graphics pipeline, advancing GPU performance, power, and functionality for AI workloads.
  • You enjoy learning about analyzing and modeling representative ML workloads to identify bottlenecks, uncover optimization opportunities, and guide architectural trade-offs that maximize PPA on applications such as LLMs, LVMs, and image classification.
  • You support design excellence by working on improving middleware and hardware-software integration to optimize GPU architectures for ML workloads-ensuring maximum performance and power efficiency.
  • You proactively seek cross-functional collaboration with GPU architects, RTL and software engineers, and research teams, to translate ML insights into production-ready GPU designs and influence long-term AI architecture roadmap.

  • You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies.

Requirements

  • 11+ years of experience with a Bachelor’s degree in Computer Science/Computer Engineering/relevant technical field, or 9+ years of experience with a Master’s degree, or 7+ years of experience with a PhD.
  • Knowledge of machine learning principles and architectures
  • Knowledge of computer vision algorithms, AR/VR, and Ray Tracing
  • Knowledge of computer architectures and performance optimization
  • Experience with workload analysis and modeling
  • Strong programming skills in languages such as C++, Python, or similar
  • Familiarity with LLMs, LVMs, and image classification
  • Experience with GPU architecture and graphics pipeline
  • Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch)
  • Ability to write clear and concise technical specifications
  • Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment, This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.

Benefits & conditions

At Samsung - SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,200 and $297,200. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.

Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Additionally, this role might be eligible to participate in long term incentive plan and relocation.

This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).

About the company

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy - the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on sec.wd3.myworkdayjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

1:18 min

Implementing routing middleware for seamless multi-fragment origination

Igor Minar Igor Minar +1 · WWC 2025

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · WWC Europe 2026

1:36 min

Navigating data sovereignty and hardware footprint limitations

Anshul Jindal Anshul Jindal +1 · WWC Europe 2026

Videos

See all

Related articles

See all