Internship

Verification Intern

Memory Controller, Summer 2025

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

CA$20 - CA$58Hourly

Toronto, ON, Canada

Position requires working in the Toronto office.

Category
Embedded Systems Engineering
Electrical Engineering
Required Skills
Verilog
Python
Data Structures & Algorithms
Java
Perl
C/C++
FPGA
Linux/Unix
Requirements
  • Pursuing a BS or MS EE degree with focus on computer architecture, logic design, verification, algorithms and data structures
  • Excellent debugging skills. Able to break problems down based on first principles.
  • Working knowledge of PC systems, windows OS, and Linux.
  • Possess good collaboration and cross-disciplinary teamwork skills.
  • Comfortable assuming different responsibilities over the life of a product.
  • Verilog, SystemVerilog or UVM exposure
  • Familiar with scripting or programming languages such as C, C++, JAVA, Python, or Perl.
  • Familiar with memory controllers and/or DDR protocols.
Responsibilities
  • Understand the design, changes thoroughly and come up with comprehensive verification plans to verify them.
  • Work with RTL engineers to help bring up features, debug failures and close coverage
  • Interact with the performance verification teams to augment verification through dynamic simulations and/or Formal verification techniques.
  • Work with and enable FPGA and software teams to ensure that software is tested.
  • Be involved with post-silicon verification and debug.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products, such as GPUs, are essential for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks like gaming graphics and complex computations in AI and machine learning. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to drive innovation in AI and HPC, providing advanced solutions that cater to a wide range of clients, from gamers to researchers and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

13%

1 year growth

25%

2 year growth

42%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's diverse investment portfolio offers employees exposure to cutting-edge technologies and industries, fostering a dynamic and innovative work environment.
  • The company's strategic acquisitions and partnerships provide opportunities for professional growth and cross-industry collaboration.
  • NVIDIA's strong financial backing and market leadership ensure stability and resources for continued innovation and development.

What critics are saying

  • NVIDIA's expansion into various sectors may dilute its focus and resources, potentially impacting its core GPU business.
  • The competitive landscape in AI, robotics, and autonomous vehicles is intense, posing challenges for NVIDIA to maintain its leadership position.

What makes NVIDIA unique

  • NVIDIA's strategic investments in diverse sectors like robotics, AI disease modeling, and driverless trucks highlight its commitment to pioneering technologies beyond its core GPU business.
  • The acquisition of Shoreline.io, a software startup, indicates NVIDIA's focus on enhancing its software capabilities, setting it apart from competitors primarily focused on hardware.
  • NVIDIA's involvement in significant funding rounds for companies like Mistral AI and Bright Machines showcases its influence and leadership in the AI and intelligent manufacturing sectors.

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