What you’ll be doing:

• Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs.
• Innovate and improve our GPU profiling library with new features to allow developers to extract the best performance out of their applications.
• Understand and use the NVIDIA GPU performance monitoring system
• Develop features for new tools for GPUs running on a variety of platforms ranging from embedded systems to supercomputers.

What we need to see:

• B.S. EE/CS or equivalent with 2+ years of experience or M.S. or equivalent with 1+ years of work experience.
• Also open to hiring fresh college graduates with relevant project/internship experience
• Strong programming ability in C, C++.
• Familiarity with computer architecture (e.g.: x86, ARM CPUs, GPUs)

Ways to stand out from the crowd:

• Background including shipping device drivers or system software
• Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan
• Prior experience authoring developer tools, particularly for GPUs or games
• Experience in performance analysis, particularly of GPU applications
• You have worked on computer algorithms and proven ability to choose the best possible algorithms to nail complex problems
• Ability to read and write assembly language for multiple processor architectures.
• Knowledge or experience in compute architecture, operating systems, and compilers.