GPU Performance Profiling Engineer

at Nvidia

📍 Austin, United States

USD 152,000-287,500 per year

MIDDLE SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 3 GPU @ 3 Networking @ 3 Observability Performance Analysis @ 3 Profiling Python @ 3

Details

NVIDIA’s GPU Foundations Developer Tools team develops performance analysis capabilities for NVIDIA hardware, drivers, and SDKs across current and future generations of GPUs and SoCs. This role will help define and deliver performance profiling tools that enable developers to analyze and optimize their applications.

Responsibilities

Analyze hardware and software feature sets for next-generation GPU and SoC performance tools.
Review next-generation chip features to ensure high-quality developer tools support and 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 developer tools quality and reduce time and cost to market.
Refine data collection in collaboration with NVIDIA’s GPU Architecture and Developer Technology teams.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent experience with 4 or more years of experience; or a master’s degree with 2 or more years of experience; or a Ph.D.
Demonstrated expertise in the software stack, including C, C++, and Python applications, as well as user-mode and kernel-mode drivers.
Proven knowledge of CPU and/or GPU architecture, such as x86, ARM CPUs, and GPUs.
Solid understanding of hardware pipeline concepts and willingness to work at a detailed implementation level.
Knowledge of performance analysis concepts, particularly for GPU applications.
Proficiency in hardware-software co-design principles and practices.

Preferred Qualifications

Strong programming ability in C, C++, and scripting languages.
Strong background in performance analysis tools and performance monitor hardware.
Experience with CUDA or GPU programming models.
Prior experience authoring developer tools, particularly for GPUs, games, or professional visualization.
In-depth experience with CPU, GPU, and networking profiler tools, as well as device driver development.

Compensation and Benefits

Base salary range for Level 3: USD 152,000–241,500 per year.
Base salary range for Level 4: USD 184,000–287,500 per year.
Eligible for equity and benefits.
Applications will be accepted at least until August 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.