NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
Develop inhouse software for advanced testing with NVIDIA's Hardware.
Develop and refine automation flows for Design-for-Test (DFT) requirements.
Optimize software performance and drive quality improvements.
Collaborate closely with Hardware design and DFT teams to improve simulation efficiency and ensure test quality.
What we need to see:
Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science or equivalent experience.
5+ years of work experience
Strong programming skills in C++ (required).
Familiarity with basic software development infrastructure, such as GitLab, compilation, library linking, debugging, and unit testing.
Understanding of Machine Learning and AI.
Strong communication skills with the ability to work optimally in a team environment.
Proficiency in English (spoken and written).
Ways to Stand Out from the Crowd:
Background with Python or other programming languages is advantageous.
Familiarity with RTL/Gate-level Development and EDA or equivalent experience is advantageous.
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/
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.”
