Senior System Engineer

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Santa Clara, CA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice today to join our world-class Emulation team.

The Emulation team is now looking for a Sr. System Engineer.

What you’ll be doing:

  • You will be responsible for developing and driving Emulation and FPGA pre-silicon bringup and debug methodologies based on the current and future NVIDIA SOC architectures.

  • Work with architecture, verification, and RTL design teams to develop and implement bringup and debug plans for emulation and FPGA platforms.

  • Evaluate, develop, and maintain new bringup and debug tools and flows

  • Execute bringup of SOC RTL and SW on pre-silicon platforms

  • Coordinate deployment of bringup and debug tools to a wider emulation and FPGA teams

What we need to see:

  • 10+ years of experience as a system engineer specializing in SoC bare-metal bring-up and FPGA environments

  • M.S or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field.

  • Extensive knowledge of ARM, RISC-V, and x86 architectures, including a wide range of ARM bus interfaces, cache, and memory subsystems.

  • In-depth understanding of PCIe, USB, various memory flash devices, I2C, UART, JTAG, and other peripheral interfaces.

  • Proficient in ARM SoC boot processes and UEFI flow.

  • Experienced in embedded firmware and system diagnostic software.

  • Skilled in software development using C, C++, and Python.

  • Knowledgeable in Linux kernel drivers.

  • Strong debugging skills in both hardware and software.

  • Experience with Design-For-Debug tools and flows (Dstream, step-debugging, cross-triggering, trace, etc)

  • Excellent communication, interpersonal and collaboration skills.

Ways to stand out from the crowd :

  • Excellent knowledge of ARM and RISC-V based SOC architectures is a plus!

  • Prior experience in SOC pre-silicon or silicon bringup using DFD tools and flows, including JTAG

  • Prior experience in testing of peripheral devices (I2C, UART, PCIe, USB) and memory

  • Proficiency in C, C++, Python

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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