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System Software Engineer, Neural Graphics Sdks

NvidiaRedmond, WA

$124,000 - $195,500 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$124,000-$195,500/year

Job Description

NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios. Do you obsess about software engineering and are a quick learner? We are looking for a driven and bold System Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including key OSS platforms like GSplat. Your software will serve a booming community of developers eager to bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!

What you'll be doing:

  • Implement and validate key features within SDKs, APIs, libraries for Neural Reconstruction, including Open Source projects like GSplat.

  • Participate to software release activities and maintenance (bug fixes, security patches) to ensure the highest software quality for our developers.

What we need to see:

  • Master's of Science in Computer Science or Electrical Engineering or Bachelor of Science (or equivalent experience).

  • 2 years experience.

  • Proficiency with Python and C++.

  • Strong software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization).

  • Excellent written, visual, and verbal communication

  • Curiosity and drive to learn new technologies and partner across teams and functions. Almost everything we are doing is new!

Ways to Stand Out from the Crowd:

  • Strong fundamentals in 3D graphics or 3D computer vision.

  • Track record contributing to open-source or production-grade software.

  • Experience in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.

  • Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).

  • History of multidisciplinary creativity and innovation around software engineering in multiple problem domains.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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FAQs About System Software Engineer, Neural Graphics Sdks Jobs at Nvidia

What is the work location for this position at Nvidia?
This job at Nvidia is located in Redmond, WA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Nvidia?
Candidates can expect a pay range of $124,000 and $195,500 per year.
What employment applies to this position at Nvidia?
Nvidia lists this role as a Full-time position.
What experience level is required for this role at Nvidia?
Nvidia is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Nvidia?
You can apply for this role at Nvidia either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.