CPU Verification Infrastructure Tools Architect

5 Months ago • 5-10 Years • Research & Development

Job Summary

Job Description

We are seeking a CPU Verification Infrastructure Tools Architect with 5+ years of experience in C, C++, Python, SOC & System Architecture, and strong programming skills. You will build tools, infrastructure, and test frameworks for RTL-simulations, c-simulations, Emulation, FPGA, and on Silicon.
Must have:
  • C, C++, Python
  • SOC & System
  • Architecture
  • Strong Programming
Good to have:
  • Silicon Bringup
  • Emulation/FPGA
  • Testbench Architectures
  • Verilog & SystemVerilog
Perks:
  • Competitive Salaries
  • Generous Benefits

Job Details

About the job

We are looking for a Hardware and Software Developer. The role is multifaceted - SoCV testbench Infrastructure, Bare-metal boot, Silicon Bringup Tools and CPU/SOC/GPU test frameworks. It involves a detailed understanding of the NVIDIA CPU, GPU, SOC system and boot architectures. The tools and technologies are complex and involve code that coordinates many IPs in the overall SOC. A key part of NVIDIA's strength is our development tools and environments that enable our incredible pace of delivering new technology to the market. We are looking for a creative and hardworking engineer who is passionate about joining a dynamic & agile SoCV/Emulation Infrastructure and test-frameworks team.

What You Will Be Doing

  • The work includes building tools, infrastructure, and test frameworks used in RTL-simulations, c-simulations, Emulation, FPGA, and on Silicon.
  • You will understand Tegra system architecture, with a focus on all IPs in the SOC that are involved in boot and security features.
  • The tools that you build give Design and Verification teams the ability to access registers/memory/DMA engines and other features in their unit. The tools also enable test re-use across multiple platforms (RTL, models, Emulation, and Silicon). The gamut of tools is wide and you also develop features used for Silicon bring up (example: FUSE, ATE, Security, Flash/DMA, Board I2Cs, USB debug devices among others). We strive for the highest quality of test frameworks and tools that we deliver from this team.
  • You would assess and build C-model or RTL-simulation capability that allows us to simulate the features before Silicon arrival in a pre-silicon environment.

What We Need To See

  • BS or MS in Computer Science or Electronics Engineering or equivalent experience with 5+ years of experience
  • Strong programmer who is proficient with C, C++, Python.
  • Understanding of SOC and System Architecture.
  • Understanding of How the SOC Devices like DMA, interrupt-engines, CPU, boot-devices, MMU/IOMMU function.
  • Operating System and Device-Driver concepts and ability to write no-OS test frameworks - i.e tests that run directly on the bare-metal SOC.
  • A good programmer takes pride in building scalable and maintainable software.
  • Understanding Hardware and/or Software development life cycle.

Way To Stand Out From The Crowd

  • Previous experience handling Silicon Bringup and in enabling Emulation/FPGA related test frameworks.
  • Exposure to Testbench architectures (C++ testbenches, SV/UVM based testbenches).
  • Verilog and System Verilog coding skills are a plus.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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