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Graphics Profiler Tools Software Engineer

at Nvidia
MIDDLE SENIOR
βœ… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 3 Linux @ 3 Algorithms @ 3 Data Structures @ 3 Communication @ 3 Performance Optimization @ 3 Debugging @ 3 API @ 5 QA @ 3

Details

Are you passionate about 3D graphics programming, performance optimization, and low-level software development? Are you ready to move at the speed of light? Join the team that innovates new graphics profiler technology at NVIDIA, and help us bring powerful new performance analysis tools to the market. The Graphics Profiler tools team is looking for a deeply technical, creative, and hands-on software engineer to pioneer the development of next-generation GPU performance tools. These tools will enable developers worldwide to harness the full power of NVIDIA GPUs. We are looking for someone who can develop software across the entire technology stack, including low-level hardware drivers, middleware data collection libraries, and high-level visualizers.

Responsibilities

As a valued member of the team, you will be involved in the technical design and implementation of new performance data collection capabilities for NVIDIA GPUs at the software and hardware level. You will write code in C++ within the NVIDIA drivers and Nsight Graphics to collect, extract, and analyze performance data. Your C++ code will operate directly on low-level hardware and driver data structures. In this role you can expect to do the following:

  • Implement event trace functionality in the NVIDIA Direct3D and Vulkan drivers, involving a mixture of CPU logic and custom GPU microcode.
  • Implement the collection, synthesis, and analysis of performance counters; enhance our sampling profilers for shaders.
  • Envision and implement rich visualizers for new kinds of performance data.
  • Work closely with internal and external partners, including other peer organizations within NVIDIA (Driver, Compiler, GPU Architecture).
  • Design, estimate, and prioritize tasks in order to build a realistic delivery schedule, in concert with the QA Department to develop a test plan.
  • Write fast, effective, maintainable, reliable, and well-documented code.
  • Provide technical reviews along multiple dimensions - performance, scalability, and correctness.

Requirements

  • 5+ years programming experience in C/C++.
  • Proficiency in at least one modern 3D Graphics API, such as Direct3D or Vulkan, and high-level shader languages like HLSL, GLSL, or SLANG.
  • Knowledge of 3D Graphics Algorithms and GPU Architectures.
  • Excellent written and verbal communication skills.
  • B.S. or higher degree in Computer Science or related field, or equivalent experience.

Ways to stand out from the crowd

  • Ability to apply real-time systems concepts to any OS environment, including desktop Windows/Linux and Mobile.
  • Knowledge of GPU tools such as NVIDIA Nsight Graphics, for in-depth hardware and shader performance analysis.
  • Deep understanding of intermediate shader code (DXBC/DXIL/SPIR-V or LLVM), shader compiler internals (DXC/glslangValidator/glslc), and GPU instruction set architectures.
  • Experience writing, debugging, and optimizing HLSL/GLSL shader code for gaming, device drivers, real-time systems, or low-level libraries.
  • Experience developing graphics drivers and/or writing low-level system software code and/or prior experience authoring developer tools and/or performance tools, particularly for GPUs or games.

NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you're highly technical and enthusiastic about 3D Graphics, we want to hear from you! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis, and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.