Firmware Integration and Automation Engineer- Silicon Solution Group

Sorry, this job was removed at 10:18 a.m. (CST) on Wednesday, Mar 25, 2026
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Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA's GPUs and SOCs lead the world in performance and efficiency, and we are always innovating to deliver outstanding solutions across a wide range of sectors. We are seeking Firmware Integration & Automation Engineers who are passionate about making a difference through their inventions. As a member of the Silicon Solution Group (SSG), you would play a significant role in chip/product bring-up and validation, collaborating with different teams to drive/develop automation solutions for silicon/platform test coverage and improving test efficiency for chip characterization.

What you’ll be doing
  • Develop and maintain prototype FPGA/MCU Firmware of reference board to facilitate silicon feature qualification.
  • Drive requirements for emulation platform features that enable efficient validation workflows and design automated validation frameworks for validation tools/test cases running on FPGA emulation environments
  • Implement continuous integration/continuous deployment pipelines for automated validation
  • Implement process improvements to accelerate automation and increase verification efficiency
  • Identify and communicate debug infrastructure needs (visibility, controllability, trace capabilities)
  • Analyze test automation failures, debug firmware and hardware issues using emulation tools and methodologies and coordinate with multi-functional teams to resolve issues
What we need to see:
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
  • 6 years+ experience in firmware development and pre-silicon validation
  • Strong programming skills in Python, C/C++, or similar languages
  • Experience with FPGA emulation platforms (Palladium, Veloce, Zebu, or similar)
  • Knowledge of hardware/software interfaces and protocols
  • Knowledge of hardware description languages (Verilog/VHDL)
  • Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills.
  • Proficient in English, both written and verbal.
Ways to stand out from the crowd:
  • Good system validation knowledge, including CPU, memory, GPU, PCIE, and thermal/power control.
  • Background in SoC or processor validation
  • Experience with test management and defect tracking tools

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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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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