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Nvidia

System Software Engineer, Profiler - GPU

OR · On-site +1

What you'll be doing: Design, develop, and maintain GPU performance foundation libraries for Nsight ... Strong programming ability in C, C++, and scripting languages such as Python. Good understanding or ...

Apple Inc.

$147.40 - $272.10/hr

The Profiling Tools team primarily focuses on the debugging and profiling aspects of the ... You'll need to work effectively with Apple teams of different engineering disciplines, anticipate ...

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Travel HDD Locator

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$20 - $28/hr

Pay: $20-28/hr, DOE What You'll Do Responsibilities: * Operate HDD locating equipment for ... Able to strictly adhere to tolerances provided on engineered profiles * Maintain bore profile plots ...

FiberTel, LLC

Travel HDD Locator

Sacramento, CA · On-site

$20/hr

Pay: $20-28/hr, DOE What You'll Do Responsibilities: * Operate HDD locating equipment for ... Able to strictly adhere to tolerances provided on engineered profiles * Maintain bore profile plots ...

DensityAI

What you'll do * Build and own top-of-funnel pipelines for technical roles, with a focus on niche hardware/silicon and AI/ML engineering profiles * Develop creative, multi-channel sourcing strategies ...

Apple Inc.

$147.40 - $272.10/hr

The Profiling Tools team primarily focuses on the debugging and profiling aspects of the ... You'll need to work effectively with Apple teams of different engineering disciplines, anticipate ...

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System Software Engineer, Profiler - GPU

Nvidia

Santa Clara, CA

Full-time

Re-posted 11 days ago

Key responsibilities

  • Design, develop, and maintain GPU performance foundation libraries for Nsight tools focusing on hardware events and counters.

  • Develop and implement GPU assembly tests and build a test validation framework using CUDA and GPU Assembly.

  • Utilize emulators to debug and verify instruction events and document tools use cases and data workflows.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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 use your tools to debug, profile and analyze the performance of their systems/applications using the low-level libraries that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.

As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding compute applications deployed on the world's largest distributed environments. We are seeking a talented Software Engineer to join our team and contribute to the performance triage development and co-design of foundational software libraries for developer tools in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.

What you'll be doing:

  • Design, develop, and maintain GPU performance foundation libraries for Nsight tools with focus on high fidelity hardware events and counters.

  • Develop and implement GPU assembly tests.

  • Build and maintain a test validation framework written primarily in CUDA and GPU Assembly.

  • Utilize emulators to debug and verify instruction events.

  • Document tools use cases and data processing workflows to facilitate architectural explorations.

What we need to see:

  • B.S. EE/CS (or equivalent experience) and 5+ years of experience or MS with 2+ years' experience, or Ph.D.

  • Strong programming ability in C, C++, and scripting languages such as Python.

  • Good understanding or prior experience with low level assembly code.

  • Solid understanding of hardware pipeline and execution unit instruction pipeline concepts, with a willingness to work at a detailed implementation level.

  • Knowledge of hardware-software co-design principles and practices.

  • Experience with performance analysis and optimization of software on hardware accelerators.

  • Experience with developing on simulators and emulators.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

  • Strong communication skills, both written and verbal.

Ways to stand out from the crowd:

  • Shown knowledge of compute (CUDA/OpenCL), modern graphics (DirectX12, OpenGL, Vulkan, Metal), or DL frameworks (PyTorch/JAX).

  • Prior experience authoring developer tools, particularly for GPUs, games, pro visualization, or compute workloads.

  • Knowledge of performance analysis, particularly of GPU applications.

  • Experience in driver development.

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.

Applications for this job will be accepted at least until July 28, 2026.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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