Join the NVIDIA Developer Tools team and empower engineers throughout the world developing innovative products in Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers use your tools to profile and analyze the performance of their applications and systems. Innovate as you develop the performance analysis capability of future generations of NVIDIA GPUs. The successful Profiling Tools Engineer will work with the NVIDIA Compute Tools team to build tools to enable developers worldwide to harness the full power of NVIDIA GPUs.
We are seeking a software developer to join our effort to advance the state of performance analysis and tuning for GPUs. You will apply knowledge of compute programming models and compute architecture to craft tools that provide impactful feedback to compute developers. You would be working on existing profiler stack and application code as well as writing targeted tests for the features you develop.
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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
Top Skills
What We Do
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 brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
