NVIDIA

GPU System Software Engineer

NVIDIA

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We are looking for a passionate GPU System Software Engineer to join our team at NVIDIA. As a GPU System Software Engineer, you will be responsible for driving the development of software solutions to enable GPU acceleration of applications in various domains.To succeed in this role, you should have a strong technical background in GPU computing, software engineering and development, and experience in developing software solutions for GPU acceleration. Additionally, you should be able to work closely with other teams to ensure the success of the software solutions.If you're excited to join a team of innovative and forward-thinking engineers and have the skills to take on the challenge, we'd love to hear from you.

Responsibilities:

  1. Develop software solutions for GPU acceleration of applications in various domains.
  2. Collaborate closely with other teams to ensure the success of the software solutions.
  3. Troubleshoot and debug software issues related to GPU acceleration.
  4. Research and evaluate new technologies to improve existing software solutions.
  5. Develop detailed system designs and specifications for new software solutions.
  6. Produce high-quality software according to established design and coding standards.
  7. Assist in the integration of software solutions into customer environments.
  8. Monitor the performance of software solutions in customer environments.
  9. Monitor and report on the performance and progress of software development projects.
  10. Assist in the development of user documentation and training materials for software solutions.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Etc)

  • Experience With Gpu Architecture

  • Strong C/C++ Programming Skills

  • Knowledge Of Multi-Threaded Programming

  • Understanding Of Algorithms And Data Structures

  • Knowledge Of Operating Systems Such As Windows

  • Linux

  • Macos

  • Understanding Of Software Design Principles

  • Familiarity With Gpu Compute Apis (Eg. Cuda

  • Opencl

  • Vulkan

  • Directx

  • Knowledge Of Gpu Hardware Internals

Required Skills
  • C++

  • Debugging

  • Scripting

  • OpenGL

  • OpenCL

  • CUDA

  • Algorithm design

  • Vulkan

  • Embedded systems

  • System Design

  • Performance tuning

  • Firmware

  • GPU architecture

  • Software Architecture

  • Drivers

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • Organization

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a GPU System Software Engineer is approximately $90,000 to $140,000 per year. This salary range varies based on experience, location, and the size and type of organization the engineer works for. Additionally, bonuses and other compensation may also be offered.

Additional Information
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 28th, 2023
Apply BeforeMay 22nd, 2025
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About NVIDIA

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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