$152,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A role focused on enabling agentic AI workflows on NVIDIA edge platforms through technical collaboration, optimization, and developer support. This suits experienced GPU software engineers who want to work across the full stack—from driver-level profiling to open-source projects—and mentor others while shaping the future of edge AI deployment.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years professional experience in local GPU deployment, profiling and optimization
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in C/C++ and Python
- Development experience on Windows and Linux
- Experience with CUDA and NVIDIA Nsight GPU profiling and debugging
- Problem-solving skills and ability to work independently and collaboratively
- Strong communication skills
- Willingness to travel for conferences and partner visits
Nice to have
- Experience with GPU-accelerated AI inference using TensorRT-RTX, cuDNN, NVIDIA Model Optimizer
- Expertise with professional agentic AI use cases like digital content creation and productivity workflows
- Open-source LLM and GenAI development experience
- Knowledge of latest-generation GPU architectures
- Experience with AI deployment on NPUs and ARM architectures