Senior Developer Technology Engineer - Edge Agentic AI

What you'll do

• Profile and debug GPU-accelerated agentic AI workflows to identify utilization and runtime performance issues.
• Develop sample code, deliver training and presentations, and enhance open-source LLM and GenAI software.
• Collaborate with engineering, product, research, and external teams; provide technical leadership and mentorship.

What they ask for

• 5+ years of professional experience in local GPU deployment, profiling, and optimization.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Strong proficiency in C/C++, Python, software design, and programming techniques.
• Development experience on Windows and Linux; experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.

Nice to have

• Experience with GPU-accelerated AI inference using TensorRT-RTX, cuDNN, or NVIDIA Model Optimizer; open-source LLM and GenAI software.
• Experience with agentic AI use cases, recent GPU architectures, or AI deployment on NPUs and ARM architectures.

Pay

152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)

Tools

C/C++, Python, Windows, Linux, CUDA, NVIDIA's Nsight, TensorRT-RTX, cuDNN

AI focus

Enables local edge deployment and runtime optimization of agentic AI and LLM/GenAI workflows on NVIDIA RTX and DGX platforms; contributes performance and feature enhancements to open-source AI software.