Nvidia
Deep Learning, High Performance Computing, Gaming, VR, and Automotive
GPUProfilingSoftwareEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“GPU Profiling Software Engineer at Nvidia. Skills: GPU Profiling, performance analysis, developer tools, low-level library development, system software development. develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library. support next generation accelerated computing at datacenter scale”
What You'll Achieve.
build outstanding applications that are recognized world-wide; extract the best performance out of their applications
Industry & Context.
debug; analyze the performance of their systems/applications
What They're Looking For.
Must Have
B. Tech. EE/CS or equivalent with 4+ years of experience, or M. Tech. with 2+ years of experience, or Ph. D., programming ability in C, C++, Python with proficiency in Data Structures and Algorithms, Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts, Knowledge of SW design principles
Nice to Have
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
What You'll Do.
develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library
support next generation accelerated computing at datacenter scale
developing software that empowers GPU application developers
contribute to the performance triage development and co-design of our software libraries
and verify performance metrics for NVIDIA GPUs
developing and improving methodologies for profiling data collection from GPUs
and improve our GPU profiling library with new features
extract the best performance out of their applications
design solutions based on HW specs
Craft software unit level tests and framework ensuring the quality of the product
supporting a variety of platforms ranging from super-computers to embedded systems
How You'll Work.
Team & Collaboration
Partner with multi-disciplinary teams; collaboration with our Hardware Architecture team
Full Job Description
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 your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale. As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology. **What you will be doing:** * Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs * Work on developing and improving methodologies for profiling data collection from GPUs * Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications * Read and understand HW specs to design solutions based on it * Craft 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.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D. * Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms * Solid understanding of Comput
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