
Samsung Group is a South Korean multinational manufacturing conglomerate headquartered in the Samsung Town office complex in Seoul
Staff Engineer, GPU Design Verification (Subsystems) at Samsung
About the role
Position Summary
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!
Role and Responsibilities
As a Senior/Staff GPU Design Verification Engineer – Subsystems, you will contribute to the verification of one or more GPU subsystems for Samsung’s next-generation mobile GPU.
In this mid-to-senior individual contributor role, you will contribute to the verification strategy and hands-on validation of complex subsystem designs, ensuring functional correctness, performance integrity, and architectural intent. You bring curiosity and knowledge in GPU design verification, block- and subsystem-level architectural understanding, and a collaborative mindset to support concurrent development cycles.
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You contribute to the verification strategy and execution for one or more GPU subsystems by help developing comprehensive verification plans, defining verification goals, coverage metrics, and sign-off criteria aligned with architectural specifications and integration requirements.
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You enjoy learning about architecting and implementing advanced verification environments. You design, develop, and maintain scalable verification testbenches using System Verilog, UVM, and C++, developing test code in parallel with RTL and applying constrained-random testing, coverage-driven verification, and assertion-based techniques to validate complex block and subsystem behaviors.
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You ensure functional and performance excellence across subsystem coverage by help advancing verification methodologies, tools, and automation to improve efficiency and quality, while creating targeted and scalable test scenarios that stress interactions across multiple blocks, interfaces, and data paths within the subsystem.
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You assist with complex debug and issue resolution by analyzing failures spanning blocks within a subsystem, identifying root causes, and collaborating with design and architecture teams to ensure verification aligns with architectural intent and system-level integration expectations.
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You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends emerging verification technologies and methodologies.
Skills and Qualifications
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6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience with a Ph.D.
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Hands-on experience in GPU, CPU, or advanced semiconductor design verification.
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Working knowledge of computer architecture and GPU subsystem design, including block-level and subsystem-level integration
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Good programming skills in C/C++, Python, Perl, or equivalent.
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Familiarity with System Verilog and UVM, including constrained-random testing, functional coverage, and assertions.
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Knowledge or experience with contributing to verification strategy and execution for multiple subsystem blocks and verification closure across interfaces.
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Hands-on experience in debugging, analytical, and problem-solving skills, with proven ability to identify bottlenecks, propose solutions, and execute implementation.
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Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.
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Nice to have:
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Knowledge of memory subsystem or coherent interconnects is a plus.
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Experience with performance-aware verification or performance profiling.
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Hardware modeling or emulation experience.
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Demonstrated passion for learning modern graphics architectures and evolving GPU technologies.
Our Team
The GPU Design Verification team at SARC/ACL owns verification coverage for Samsung’s current and next-generation mobile GPUs. Our work spans across three areas: Graphic Core, Subsystem Verification, and Formal Verification. As a globally distributed team, we work closely with architecture, design, software, emulation, and system-level partners to ensure GPU designs function effectively as a complete system. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones.
You will join a diverse, collaborative organization to work on concurrent annual development lifecycles and see your work delivered in real consumer technologies. Here you’ll help build what’s next, broaden your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.
Total Rewards
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 $151,000 and $251,800. 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).
U.S. Export Control
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.
Trade Secrets
By submitting an application, you applicant agrees not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.
#SARC #ACL
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Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Required skills
design verification
GPU architecture
UVM
SystemVerilog
coverage analysis
debugging
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About Samsung

Samsung
PublicA technology company that engages in consumer electronics, IT and mobile communications, and device solutions.
10,001+
Employees
Seoul
Headquarters
$267B
Valuation
Reviews
10 reviews
4.0
10 reviews
Work-life balance
3.2
Compensation
3.5
Culture
4.1
Career
3.0
Management
3.4
72%
Recommend to a friend
Pros
Great team culture and collaborative atmosphere
Innovative projects and learning opportunities
Good work-life balance and flexible hours
Cons
Long hours and heavy workload
High stress and tight deadlines
Fast-paced environment can be overwhelming
Salary Ranges
22 data points
Senior/L5
Senior/L5 · Digital Transformation Manager
1 reports
$180,827
total per year
Base
$157,414
Stock
-
Bonus
-
$180,827
$180,827
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
25%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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