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GPU Performance Architect (Memory System)

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GPU Performance Architect (Memory System)

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Join to apply for the GPU Performance Architect (Memory System) role at Samsung Semiconductor

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!

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 GPU Performance Architect (Memory System), you will work as part of the GPU Architecture team where you will drive the modeling and analysis of memory-system features for a highly efficient mobile GPU. You have a curious mindset that thrives on navigating the unknown through innovation and continuous learning. You will contribute towards current and future plans strategy.
We believe in connecting your area of expertise with the right level and functional discipline that can empower you to grow. You will have the unique opportunity to explore and contribute to the graphics pipeline, while broadening your knowledge in different aspects of GPU development.

• You work closely with the architecture, SW, and design teams to understand the architecture and micro-architecture of the GPU memory system including cache hierarchy, bus unit, interfaces with the GPU core and rest of the SoC.
• You develop complex GPU performance models to help define micro-architectural features and implementation optimizations of next-generation GPUs, in areas of memory system.
• You develop tools and methodology to correlate and validate performance models, triage and fix performance issues, and identify bottlenecks and propose solutions to improve GPU performance.
• You drive high-level performance analysis on complex workloads, with the goal to optimize the GPU with rest of the Memory System IP (Interconnect, Last-level Cache, Memory Controller).
  
  

Skills And Qualifications
Minimum Requirements:

• 10+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 8+ years of experience with a Master’s Degree, or 6+ years of experience with a PhD
• 5+ years of experience in architectural modeling and performance analysis, either with analytical models or cycle-accurate simulators
• Experience with CPU, GPU, or Memory systems microarchitecture
• Good programming and/or scripting skills (Python is a plus)
• Good understanding of power/performance trade-offs
• Good understanding of VLSI concepts, HW design
• Good written and verbal communication skills
  
  

Preferred Qualifications:

• Performance modeling or workload analysis experience, in areas of memory subsystems
• Knowledge of Core Pipelines (CPU, GPU or Accelerators)
• Directly related experience with correlation of RTL with performance model
• Experience in integrating internal/external IP models on a full system-level framework.
  
  

Our Team
We’re growing a team with talented individuals and diverse skillsets to build a technology roadmap and deliver market-leading GPU product. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphic for Samsung Galaxy smartphones.
Being part of a unique growing team at a well-established global company means you have limitless room to explore, innovate, and grow by wearing different hats. Our GPU Architect team delivers whole system architecture-level design for Samsung’s current and next-generation mobile GPU. Depending on the functional discipline, they’re responsible for anywhere from early-stage architectural exploration, research work focusing on graphic and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work.
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 $144,345 and $257,336. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location. This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).
Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free 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.
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) agree(s) 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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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computers and Electronics Manufacturing

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