GPU Performance Profiling Engineer - Equity & DevTools

NVIDIA AI; Austin (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Austin is seeking a Performance Tools Engineer to help innovate the analysis capabilities of NVIDIA hardware, drivers, and SDKs for next‑generation GPUs and SoCs. You will collaborate across teams to optimize data collection and observability for developers.

The role requires strong C/C++/Python skills, CUDA experience, and knowledge of CPU/GPU architectures. Base salary ranges from 152k to 287.5k USD depending on level, with equity and comprehensive benefits.

Qualifications

• BS in EE/CS (or equivalent) with 4+ years of experience or MS with 2+ years, or PhD.
• 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.

Responsibilities

• 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.

Skills

C/C++

Python

Driver development

GPU architecture

Education

BS in EE/CS or MS/PhD

Tools

CUDA

Profiler tools

Job description

NVIDIA in Austin is seeking a Performance Tools Engineer to help innovate the analysis capabilities of NVIDIA hardware, drivers, and SDKs for next‑generation GPUs and SoCs. You will collaborate across teams to optimize data collection and observability for developers.

The role requires strong C/C++/Python skills, CUDA experience, and knowledge of CPU/GPU architectures. Base salary ranges from 152k to 287.5k USD depending on level, with equity and comprehensive benefits.