Senior Systems Software Engineer, GPU Profiling (BB-B8E3B)
Found in: Neuvoo IN
Senior Systems Software Engineer, GPU Profiling
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 workhorse that powers intelligent applications in a multitude of domains and computing environments. At NVIDIA, performance is at the core of everything we do. We pride ourselves on not only building the world’s fastest processors, but also on providing a full ecosystem that empowers engineers and developers to realize that performance in practice.
NVIDIA’s GPU Architecture Group is looking for software engineers to help us push the boundaries of our GPU performance analysis capabilities. As a member of our team, you will work closely with GPU architects, CUDA developers, and deep learning performance engineers to devise innovative approaches to GPU profiling and incorporate them into our internal tools. Your work will accelerate progress toward our broader mission, which spans both hardware and software, to consistently deliver the world’s fastest accelerated computing systems in domains ranging from autonomous vehicles to supercomputers. Join our technically diverse team of GPU architects, software engineers and infrastructure experts to advance the frontiers of computing performance!
What you’ll be doing:
Develop tools to analyze performance of CUDA applications from various sectors (e.g. Deep Learning and scientific computing) on various platforms including embedded systems and large clusters
Work with multi-disciplinary teams to design, implement, and verify new features for GPU profiling and monitoring, often incorporating new hardware capabilities
Define performance metrics that will be useful for performance analysis and verify them for upcoming GPU architectures
Give feedback to improve profiling architecture in GPU
Constantly learn about the GPU architecture and the performance analysis process to improve the efficiency and effectiveness of our tools
What we need to see:
Bachelors, Masters, or PhD in relevant field (e.g. CS, EE, CE) or equivalent experience
5+ years of relevant experience
Product development experience in C, C++, and Python
Strong software optimization and debugging skills
Experience in developing, analyzing, and optimizing parallel algorithms
In-depth knowledge of GPU and/or CPU architecture and general computer architecture principles
Ways to stand out from the crowd:
Knowledge of operating systems, device drivers, and/or compiler implementation
Experience analyzing GPU application performance
Ability to read and write assembly language
Experience with modern CI/CD tools, including containers
NVIDIA offers competitive pay and benefits, including flexible time off, family leave time, and high-quality medical benefits. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, 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, veteran status, disability status or any other characteristic protected by law. We will provide reasonable accommodations for those who need them to participate in the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment.
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THE WORLD LEADER IN VISUAL COMPUTING
NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
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work NVIDIA Corporation