About The Position

Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL) are building a center of excellence for intellectual property used in high-performance computing devices for mobile, automotive, and other custom market segments. The Senior Staff Engineer will model functional behavior and performance for components within the GPU pipeline, collaborating with architecture, RTL design, verification, and software teams. The position develops, maintains, simulates, and validates C++ models of GPU blocks and complex systems, and identifies opportunities to optimize GPU architecture, microarchitecture, and implementation. Multiple openings are available.

Requirements

  • Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electronics Engineering, or a closely related field, plus eight years of experience in a related occupation; alternatively, a bachelor’s degree or foreign equivalent in one of those fields plus ten years of experience in a related occupation.
  • Experience with software design and architecture.
  • C++ programming experience, including STL, in a Linux environment.
  • Knowledge of GPU/CPU or computer architecture and microarchitecture concepts.
  • Experience with development tools such as revision control systems, debuggers, and make/cmake.
  • Experience with hardware modeling.
  • Experience with performance profiling and analysis.
  • Ability to access information subject to U.S. export control restrictions or be eligible to receive government authorization to access it.

Responsibilities

  • Develop functional and performance models for components within the GPU pipeline.
  • Collaborate with architects, RTL designers, verification engineers, and software developers to understand the GPU pipeline.
  • Design and architect high-performance C++ models for GPU blocks.
  • Develop, maintain, and validate functional and performance models of complex systems for accuracy and completeness.
  • Keep models consistent with the latest design specifications.
  • Identify areas for optimization and improvement in models.
  • Simulate model behavior to validate functional and performance characteristics.
  • Analyze architectural, microarchitectural, and implementation-level opportunities to improve GPU functionality and performance.

Benefits

  • Medical, dental, vision, and life insurance
  • 401(k)
  • Free onsite lunch
  • Employee purchase program
  • Tuition assistance after six months
  • Paid time off
  • Student loan program
  • Wellness incentives
  • MBO bonus compensation for eligible regular full-time employees, based on company, division, and individual performance
  • Potential eligibility for a long-term incentive plan and relocation assistance
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