Senior Developer Technology Engineer, Edge Agentic AI

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 97 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k

This role $197k

$139k $252k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $157,672–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Developer Technology Engineer, Edge Agentic AI

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The Senior Developer Technology Engineer - Edge Agentic AI joins the team to enable professional agentic AI workflows at the edge powered by RTX and DGX platforms. You will solve local end-to-end agentic AI GPU deployment challenges by applying profiling and debugging tools to analyze demanding workflows and detect insufficient system utilization. Responsibilities include developing sample code, hosting presentations, and improving LLM and GenAI user experiences through feature enhancements of open-source software like GGML, Llama.cpp, Ollama, vLLM, and ONNX Runtime. You must possess proficiency in C/C++, Python, CUDA, and NVIDIA Nsight. The role requires collaborating with internal engineering, research, and external partners to influence next-generation GPU features while providing technical leadership and mentorship to junior engineers in a fast-paced environment.

Skills

Python C/C++ CUDA TensorRT-RTX cuDNN NVIDIA Model Optimizer vLLM Llama.cpp Ollama ONNX Runtime GGML Linux Windows Nsight GPU Profiling GenAI LLM ARM Architecture

What you'll do

Solve local end-to-end agentic AI GPU deployment challenges on NVIDIA RTX and DGX platforms.
Use profiling and debugging tools to analyze accelerated AI workflows and identify performance bottlenecks.
Develop sample code and conduct hands-on trainings to guide users on efficient AI deployment.
Enhance LLM and GenAI user experiences by improving performance in open-source software projects.
Provide real-world workflow feedback to GPU driver and architecture teams to influence next-generation features.
Provide technical leadership and mentorship to junior engineers within the team.

What we're looking 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 operating systems.
Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.
Experience with GPU-accelerated AI inference driven by NVIDIA APIs and SDKs, specifically TensorRT-RTX, cuDNN, and NVIDIA Model Optimizer (preferred).
Expertise with professional agentic AI use cases, such as digital content creation and productivity workflows (preferred).
Experience working with open-source LLM and GenAI software (preferred).

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