What you’ll be doing:
Develop Compute performance analysis tools for GPUs running on Linux, Windows and embedded operating systems.
Work with tools, architecture and driver teams to design, implement and verify new features in the compute profiler stack.
Work closely with internal and external partners including other peer organizations within NVIDIA.
Effectively estimate and prioritize tasks in order to craft a realistic delivery schedule.
Write fast, effective, maintainable, reliable and well detailed code.
Provide peer reviews to other specialists including feedback on performance, scalability and correctness.
Document requirements and designs, and review documents with partners.
Demonstrate growth in technical and non-technical abilities.
Meet with the QA team to develop a test plan for new features.
What we need to see:
BS, MS or equivalent degree in Computer Engineering or Computer Science.
3+ years of software development experience.
Strong programming ability in C, C++, and scripting languages.
Extensive hands-on programming experience.
Strong software optimization and debugging skills.
Knowledge of performance analysis concepts, particularly of GPU applications.
Basic understanding of computer architecture of x86 or ARM CPUs.
Excellent communication and partnership skills.
Ways to stand out from the crowd:
Proficient in the use of tools that analyze performance and hardware that monitors performance.
Experience in CUDA or GPU programming models.
Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.
Background in the field that requires high performance computing.
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