NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!
Our team is responsible for development and support of infrastructure tools used by design engineers for building sophisticated chip designs. Rapid changes to adapt to new design and process requirements are the must while maintaining backward compatibility and keeping tools reliable and scalable.
What You'll be Doing:
Work as a team to develop and maintain reliable, scalable and highly intelligent build systems that runs hundreds of thousands of jobs each day.
Develop scalable tools to collect, analyze and visualize the performance and health of the build system.
Develop responsive services for users to quickly search through source files and logs
Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.
What We Need to See:
Bachelor's degree (or higher) in Computer Science or Computer Engineering or equivalent experience
4+ years of software development experience
Experienced with OOP, Perl/python/C++, Unix/Linux.
Solid understanding of data structure, algorithms (e.g graphs, DAG), computer architecture and computer science theory
Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements
Ways to stand out from the crowd:
Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, makepp, Bazel)
Experienced with distributed computing systems such as LSF
#LI-Hybrid
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.”
