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Jobs · Quality Assurance · Texas

Staff Engineer, Post-Silicon Debug & Validation Engineer

Samsung Semiconductor · Austin, Texas Metropolitan Area · 4 wk ago
On-siteQuality Assurance$151k–$227k/yrFull-time

Position Summary

Samsung, a world leader in advanced semiconductor technology, is building a center of excellence for Intellectual Property (IP) applied to high‑performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people worldwide. Join the Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL) to help create a better world through the endless pursuit of excellence.

Responsibilities

  • Support GPU silicon debug, design‑for‑debug architecture, and diagnostic development under the guidance of senior engineers.
  • Assist with automated SOC‑level system test generation for GPU and Coherent Interconnect.
  • Participate in board‑level hardware and software bring‑up of GPU and SOCs (Memory Controllers, Chip Interconnect/Fabric).
  • Perform functional and parametric analysis of SOC and IP within an SOC.
  • Help debug and root‑cause improper or inconsistent operation.
  • Develop software tools or scripts to support debug and test simplification and automation, leveraging AI/ML tools to accelerate analysis and automate repetitive debug workflows.
  • Learn and apply debug features to accelerate testing and improve test effectiveness.
  • Contribute to IP‑level functional validation test plans.
  • Support SOC emulation: modify hardware, software, and test benches, run emulation, and analyze SOC behavior.
  • Provide debug and testing input for feature improvements to next‑generation designs.

Qualifications

  • 6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years with a Master’s Degree, or 2+ years with a Ph.D.
  • BS in Electrical Engineering, Computer Engineering, or comparable degree (recent or upcoming graduate); internship or academic project experience in GPU or post‑silicon debug/validation is a plus.
  • Hands‑on experience with AI/ML tools or techniques (e.g., AI coding assistants, ML/data analysis for debug or test automation) – required.
  • Coursework or project experience with system/board‑level bring‑up.
  • Exposure to GPU or microprocessor debug using logic analyzers, scopes, or other test equipment.
  • Familiarity with debuggers such as Lauterbach (coursework or lab experience acceptable).
  • Basic understanding of performance and power measurement techniques.
  • Exposure to scanchain, array dump, or other hardware debug techniques (academic or internship experience acceptable).
  • Familiarity with waveform analysis and emulator signal extraction concepts.
  • Exposure to IPXACT design documents or parser development (a plus).
  • Foundational GPU architectural knowledge (coursework or personal projects).
  • Familiarity with GPU APIs (OpenGL, OpenGL ES, Vulkan) and GPU software stacks.
  • Proficiency in C/C++/object‑oriented programming, Python, and shell scripting.
  • Basic understanding of GPU/microprocessor product and test engineering concepts.
  • Exposure to Linux and/or Android kernel programming.
  • Familiarity with BIOS/firmware programming concepts (a plus).
  • Coursework or project experience with Verilog and/or UVM.
  • Must be authorized to access information subject to U.S. export control laws or eligible for government authorization.

Team

The Central Engineering organization at SARC/ACL drives technology enablement for GPU and SoC development by delivering critical engineering infrastructure, IP, and services across emulation, compute, silicon validation, and manufacturing readiness. The Silicon & Emulation team focuses on emulation platforms, silicon validation, and system‑level analysis to ensure functional correctness, optimized power, and performance. The team operates at the intersection of multiple engineering domains, solving real‑world challenges and fostering a collaborative environment that values ownership, continuous learning, and technical excellence.

Compensation and Benefits

Base pay for this role ranges from $151,000 to $226,600, depending on education, skills, qualifications, experience, and work location. The position is exempt (non‑overtime) and may include MBO bonus compensation, long‑term incentive plans, and relocation assistance.

  • Medical, dental, and vision insurance
  • Life insurance
  • 401(k) retirement plan
  • Onsite lunch
  • Employee purchase program
  • Tuition assistance (after 6 months)
  • Paid time off
  • Student loan repayment program
  • Wellness incentives
  • Additional benefits and programs

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