Senior Software Engineer - AI System

NVIDIA•Santa Clara, CA

1d•$184,000 - $356,500

About The Position

NVIDIA is seeking an experienced software engineer to build NVIDIA AI for Media SDKs, a GPU-accelerated platform providing AI-powered video, audio, and augmented reality capabilities for media, content creation, and broadcast developers. The role develops and optimizes AI software across cloud and embedded platforms and advances the build, validation, and delivery infrastructure behind the SDKs. It combines C++ systems engineering, Linux expertise, accelerated inference, and software delivery automation, with collaboration across algorithm, platform, infrastructure, and QA teams to deliver efficient, reliable software on NVIDIA hardware. The engineer will build and optimize low-latency software and AI workloads, maintain cross-platform CI/CD and packaging systems, and drive projects from design through validated release. The position works with engineers and researchers across disciplines to bring AI capabilities into production applications.

Requirements

Strong C++ and CUDA programming, system design, debugging, and software engineering skills.
Strong Linux development expertise, including toolchains, dependency management, scripting, and troubleshooting.
BS or MS degree, or equivalent experience, with 8+ years of relevant systems software development experience.
Experience with CI/CD systems such as Jenkins or GitLab CI, including automated build, test, and packaging workflows.
Experience with Docker-based development and build environments.
Strong background in computer vision/graphics and linear algebra.
Ability to work independently, define project scopes, communicate risks, and drive work through completion.
Experience shipping production SDKs and developer libraries.
Proficiency in AI-driven development best practices and agentic engineering workflows.

Nice To Haves

TensorRT inference integration or optimization experience.
Experience building and deploying software or AI models on embedded platforms, particularly ARM-based systems.
Experience optimizing deep learning system performance, including latency analysis, profiling, and tuning of AI workloads.
Expertise in image/video processing in GPU-accelerated media applications.
Proficiency with Python and shell scripting for development and infrastructure automation.

Responsibilities

Build efficient, low-latency software for AI media workloads across cloud and embedded platforms.
Optimize and deploy AI models and software stacks on embedded processors and NVIDIA GPU platforms.
Profile AI workloads to improve performance, power, and memory usage.
Develop and maintain cross-platform CI/CD, packaging, and test systems.
Collaborate across NVIDIA to bring new hardware capabilities and platform software to AI media applications.
Drive projects from design through validated release, with clear milestones, documentation, and reliable handoffs.