You will be part of the Post Silicon SW Tool & Automation team in NVIDIA, a team responsible for the infrastructure, GUI tools, and all SW-related applications of the high-speed communication products, and be working with RND teams to ensure outstanding products and superb automated tools. You’ll work at the HW/SW interface, developing critical tools and automation that support silicon bring-up, SerDes validation, and emerging system platforms.
What you will be doing
Develop python based software and infrastructure to control NVIDIA hardware, with a focus on mixed-signal IP and SerDes functionality, and to enable silicon bring-up, validation, and regression testing through automation tools.
Collaborate closely with cross-functional teams (RTL, Architecture, Algorithms, Post-Silicon) to align the software environment with evolving requirements.
Debug and troubleshoot at the HW/SW boundary using waveforms, logs, and lab measurements for robust system validation.
What we need to see
B.Sc in Electrical Engineering.
5+ years of relevant industry experience (SerDes, digital/analog architecture, hardware/software integration).
Python programming and debugging skills.
Experience building software that interfaces with device drivers and exposes hardware functionality.
Deep understanding of digital and analog system architectures.
Ways to stand out from the crowd
Deep understanding of SerDes architectures and link bring-up processes.
Knowledge of communication systems (transmitters/receivers), optics modulators.
Hands-on experience with post-silicon hardware bring-up and lab instrumentation (oscilloscopes, spectrum analyzers, etc.).
Proficiency in object-oriented Python development and design patterns.
Experience using version control tools (e.g., GIT).
Top Skills
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.”
