1 day ago
Base Salary
$184k - $357k/yr
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 with algorithm, platform, infrastructure, and QA teams to integrate new hardware capabilities and platform software into AI media applications.
- Drive projects from design through validated release, including milestones, documentation, and reliable handoffs.
- Ship production SDKs and developer libraries.
Requirements
- Strong C++ and CUDA programming, system design, debugging, and software engineering skills.
- Strong Linux development expertise, including toolchains, dependency management, scripting, and troubleshooting.
- Bachelor’s or master’s degree, or equivalent experience, with 8+ years of relevant systems software development experience.
- Experience with CI/CD systems such as Jenkins or GitLab CI and 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.
- Proficiency in AI-driven development practices and agentic engineering workflows.
- Preferred experience with TensorRT inference integration or optimization.
- Preferred experience building and deploying software or AI models on embedded, particularly ARM-based, platforms.
- Preferred experience optimizing deep learning system performance through latency analysis, profiling, and tuning.
- Preferred expertise in image and video processing in GPU-accelerated media applications.
- Proficiency with Python and shell scripting for development and infrastructure automation.
Benefits
- Eligible for equity and benefits.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.