System Software Engineer - GPU Performance Metrics Development

At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use the low-level library you helped craft to debug, profile and analyze the performance of their systems/applications. Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the GPU foundation library to support next generation accelerated computing at datacenter scale.

As a system software engineer in the GPU Foundations Developer Tools team, you will be involved in designing low level hardware and software GPU performance metrics towards the low level library that is used by various tools. We are seeking a motivated software engineer to join our effort to advance the state of the art of performance analysis tools and libraries for GPUs. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's world-class technology.

What you will be doing:

• Work with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs, to allow developers to identify bottlenecks in their applications and achieve the best performance

• Work on developing and improving methodologies for profiling data collection from GPUs

• Innovate and improve our GPU profiling library with new features

• Work on software unit level tests and framework ensuring the quality of the product

• Work on supporting a variety of platforms ranging from super-computers to embedded systems

What we need to see:

• B.E. EE/CS or equivalent with 2+ years of experience, or M.E. or equivalent with 1+ years of experience

• Also open to hiring fresh college graduates with relevant project/internship experience

• Strong programming ability in C++, with proficiency in Data Structures and Algorithms

• Familiarity with Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts

Ways to stand out from the crowd:

• Experience in Device Drivers or System Software development

• Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan

• Prior experience authoring developer tools, particularly for GPUs

• Experience in performance analysis of GPU applications

• Ability to read and write in Assembly language, especially for multi-processor architectures

The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.