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What You’ll Be Doing:
You will apply your knowledge of debuggers, binary instrumentation and computer architecture to improve existing compute debugger tools and libraries, and extend them to new use cases. You should be comfortable working in C, C++ and assembly on a wide range of supported platforms: Windows, Linux, and embedded real time OSes. You should also be comfortable interacting with different user and kernel mode driver teams, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems.
Develop the compute debugger tools for GPUs running on Windows, Linux, and embedded operating systems.
Work with tools, compiler, architecture and driver teams to design, implement and verify new features in the compute debugger and debug API
Work closely with internal and external partners including other peer organizations within NVIDIA
Effectively estimate and prioritize tasks in order to create realistic delivery schedules.
Write fast, effective, maintainable, reliable and well-documented code.
Provide peer reviews to other engineers, including feedback on performance, scalability and correctness.
Mentor junior engineers.
What We Need To See:
BS or MS in Computer Science or equivalent experience
5+ years of experience
Strong programming ability in C, C++, Assembly Language and scripting languages
Excellent knowledge of computer architecture of x86 or ARM CPUs
Strong problem solving and debugging skills
Familiar with low-level programming using assembly languages
Source control understanding (e.g. git, Perforce, etc.)
Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction
Ability to work remotely across multiple time zones
Excellent communication skills, written and verbal
Ways To Stand Out From The Crowd:
Proficiency with Visual Studio Extension development.
Experience with using Win32 API (IPC, memory mapping, etc.)
Experience with applying build systems (cmake, MSBuild) to complex projects
Qt User Interface development knowledge
CUDA/OpenCL knowledge
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