About The Position

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! We are looking for a Firmware Engineer - New College Grad to join our Memory Subsystem Team!

Requirements

  • Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Engineer, Computer Science or related field or equivalent experience
  • Strong coding skills in C/C++.
  • Understanding of data structures.
  • Exposure to low-level firmware programming for ARM or RISCV processors.
  • Excellent debugging skills.
  • Able to break problems down based on first principles.

Nice To Haves

  • Familiar with scripting or programming languages such as Python, or Perl.
  • Experience with dram technologies like DDR, LPDDR, HBM.
  • Knowledge in ASIL process and flow.
  • Ability to maintain high code quality standards, code profiling, specifically in managing cyclomatic complexity and ensuring comprehensive code coverage.

Responsibilities

  • Firmware Design & Execution: Design and implement firmware for the memory subsystem, including silicon bring-up, validation, and debugging for NVIDIA SoC products.
  • Software and Configuration Tuning: Tune the DRAM interface and manage the memory subsystem configuration, including enhancements to initialization, functionality, performance optimization, and power management.
  • Optimization & Quality: Plan and execute firmware features while contributing to code refactoring, profiling, complexity optimization, and comprehensive validation.
  • Architecture Review: Analyze DRAM datasheets, Memory Subsystem Architecture, and SoC architecture specifications to guide implementation.
  • Complex Problem Solving: Exercise expertise in digital/analog systems and computer architecture to debug and solve complex hardware/software interaction issues.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Number of Employees

5,001-10,000 employees

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