At NVIDIA, we build groundbreaking products for the following sectors: Automotive, VR, Gaming, Deep Learning, and High Performance Computing. 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 Profiler Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware with developing power measurements abilities in tools for the best performance. Help inventors around the world who will depend on the creative products that you worked on to better utilize Nvidia hardware to its maximum potential in their applications at minimal power. Join the team that brings new NVIDIA technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon.
As a System Performance & Power Profiling Engineer, you will be developing software that empowers GPU application developers to build outstanding GPU accelerated applications that are recognized world-wide. We are seeking a software developer to join our efforts in advancing the state of software performance tuning for the optimal power requirements on NVIDIA platforms. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's world-class technology. Creatively improve our tools to generate meaningful perf/watt data. Build solutions at every scale from embedded platforms to PCs to cloud servers. You will have a direct impact on the software API design and hardware capabilities that our team provides. You should be comfortable following a design process, prototyping, working in existing codebases, writing tests, and developing production quality software.
What you’ll be doing:
Design, develop and maintain our GPU & SOC Performance profiling SDK.
Work closely with NVIDIA Architecture, Driver, and Tools teams to define new GPU/SOC hardware features, to capture realtime performance statistics and next generation power measurement features.
Develop, validate and debug power measurement features from emulation to silicon.
Work closely with QA to develop automated tests, ensuring the quality of the product.
Help internal and external customers build their performance and power profiling tools using our SDK.
Define, invent, and improve our NVIDIA profiling library with new features to allow NVIDIA's customers to extract the best performance out of their code base.
What we need to see:
BS or MS in EE, ECE, CS, or equivalent experience.
3+ years of industry experience.
Strong programming and debugging ability in C and C++.
Experience in performance or power measurement analysis.
Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.
Strong technical communication, presentation, and writing skills.
Ways to stand out from the crowd:
Demonstrated working knowledge of compute (CUDA/ML) and/or Graphics APIs.
Experience working in gaming, device drivers, realtime systems, or other low level library development.
Prior experience authoring developer tools, particularly for GPUs, CUDA, Graphics APIs
Experience with shipping production-quality device drivers or system software.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people in the world working for us. If you are creative and self driven, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.You will also be eligible for equity and benefits.
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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.”
