Staff Engineer, GPU Front-End Infrastructure/ Methodology

Samsung Electronics

Remote Actively hiring Verified listing
Remote, USA · Austin, TX Posted 10 days ago $151,000$226,600 / year

At a glance

AI generated

TL;DR

As a Staff GPU Front-End Implementation Methodology Engineer at SARC/ACL, you will play a pivotal role in advancing front-end implementation methodologies for complex GPU and SoC designs, ensuring scalability and alignment with high-performance and low-power goals. You will collaborate closely with architecture, verification, CAD, and physical design teams to define best practices and quality standards, own the RTL flow and build system, and contribute to software initiatives such as an agentic AI workflow, RTL CI/CD systems, and operational metrics collection. This role requires expertise in Unix/Linux programming languages like Python, C++, Perl, Ruby, Go, and shell scripting, along with deep Linux system knowledge, DevOps practices, containerized environments, and orchestration platforms. The team focuses on delivering market-differentiating performance and energy efficiency for Samsung’s mobile GPU IPs, including the industry-first Xclipse GPU with hardware ray tracing technology.

Skills

Python C++ Perl Ruby Go shell scripting Docker Kubernetes OpenShift GNU Make DevOps CI/CD Linux RTL

What you'll do

  • Drive front-end RTL implementation methodologies for GPU and SoC designs.
  • Define and uphold best practices and quality standards for design teams.
  • Own and evolve the RTL flow and build system, including AI workflow support.
  • Lead projects to advance best practices in front-end implementation methodologies.
  • Contribute to software initiatives like RTL CI/CD systems and metrics reporting.

What we're looking for

  • 6+ years of experience in Computer Science/Engineering or equivalent
  • Hands-on experience with agentic AI tools and workflows
  • Proficiency in Unix/Linux programming languages including Python, C++, Perl, Ruby, Go, shell scripting
  • Deep expertise in Linux system debugging and DevOps practices
  • Experience with containerized environments and orchestration platforms like Docker, Kubernetes
  • Strong analytical skills and methodical approach to problem-solving
  • Excellent communication skills for technical documentation and cross-functional collaboration

Market check

Salary context

This $151,000–$226,600 range sits above 28% of similar postings on FindRole.

Peer median band

$152,000$264,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$181,918$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 32 open roles on FindRole.

Listed pay typically runs $175,000–$208,400 across 29 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

More like this

Similar roles

Senior Staff Engineer, GPU Software Architecture

Samsung Electronics

Remote (3900 N Capital Of Texas Hwy, Austin, Tx, Usa, US) 85 days ago $180,200$297,200
C C++ Python Vulkan DirectX Metal HLSL GLSL OpenCL CUDA Unreal Unity Linux Android OpenGL 3D graphics GPU hardware ray tracing rasterization linear algebra multi-threaded debugging performance profiling parallel programming game engines offline compiler JIT compiler
Remote

GPU Design Verification Engineer, Staff

Qualcomm

Boxborough, Ma,Us, US 178 days ago $161,800$242,600
SystemVerilog UVM C++ Python Vulkan DX11 DX12 Linux Windows Make Airflow GNU Toolchain Visual Studio Formal verification Emulation FPGA HAPS QEMU Embedded FW Development Kernel level development

Senior Staff Engineer, Post-Silicon GPU Power & Performance

Samsung Electronics

Remote (3900 N Capital Of Texas Hwy, Austin, Tx, Usa, US) 50 days ago $180,200$270,400
Python C/C++ Linux Android SQL GPU CPU SoC Performance_analysis_tools Post-silicon_validation System_level_architecture Kernel_level_debugging Shell_scripting Databases Emulation_platforms Silicon_validation Complex_software_workloads CI/CD
Remote

GPU Implementation Engineer(Austin & San Diego)

Qualcomm

Austin, Tx,Us, US 50 days ago $161,800$242,600
Design Compiler Fusion Compiler Genus Innovus Conformal LEC Formality PrimeTime Tcl Python UPF GPU microarchitecture EDA tools Power vector generation Power analysis Synthesis and place-and-route tools Advanced process nodes

System Software Engineer, GPU Development Tools

Nvidia

Us, Ca, Santa Clara, US 53 days ago $124,000$195,500
C++ Python CUDA DX OpenGL Vulkan Chip Simulation Virtual Machines Containers Distributed Programming Object-Oriented Design Patterns CI/CD