Before you apply
Listed location: US, TX, Austin | US, CA, Santa Clara
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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 profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools team!
Innovate as you develop the performance analysis capability of NVIDIA hardware, drivers, and SDKs to support current and future generations of GPUs and SoCs. Help inventors around the world who will depend on the creative products that you worked on to better utilize our GPU hardware to its maximum potential in their applications. Join the team that brings new technologies to market. You will have a direct impact on the performance profiling tools that our team provides based on next generation hardware which you help to define.
What you'll be doing:
Analyze hardware/software feature sets for next generation GPU and SoC performance tools.
Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.
Collaborate with developer tools engineers, software library developers, and GPU architects on new features.
Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market.
Refine data collection with NVIDIA's GPU Architecture and Developer Technology teams.
What we need to see:
B.S. EE/CS (or equivalent experience) with 4+ years of experience or MS with 2+ years' experience, or Ph.D.
Demonstrated expertise in the software stack, encompassing C/C++/Python applications and both user-mode and kernel-mode drivers.
Proven knowledge of CPU and/or GPU architecture (e.g.: x86, ARM CPUs, GPUs).
Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.
Knowledge of performance analysis concepts, particularly of GPU applications.
Proficiency in hardware-software co-design principles and practices.
Ways to stand out from the crowd:
Strong programming ability in C, C++, and scripting languages.
Strong background in performance analysis tools and performance monitor hardware.
Experience in CUDA or GPU programming models.
Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.
In-depth experience with profiler tools including CPU, GPU, and networking as well as experience in device driver development.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working individuals in the world working for us. If you are creative and autonomous, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills mentioned
Frequently asked questions
Is the GPU Performance Profiling Engineer position at NVIDIA remote?
The GPU Performance Profiling Engineer role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the GPU Performance Profiling Engineer role?
NVIDIA is hiring for a full-time GPU Performance Profiling Engineer position.
Which skills are mentioned for the GPU Performance Profiling Engineer job at NVIDIA?
Detected skill labels include Python, CUDA, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the GPU Performance Profiling Engineer position at NVIDIA?
You can apply for the GPU Performance Profiling Engineer role directly through NVIDIA's official application link provided on this page.
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