Senior Developer Technology Engineer - Edge Agentic AI
$152,000 - $287,500 USD yearly
Originally posted 22 July 2026 by the employer.
About the role
As a Developer Technology Engineer, you will work with industry partners and open-source projects to enable agentic AI workflows at the edge powered by NVIDIA RTX and DGX platforms.
What you'll do
- Work across internal engineering teams, product teams, external app developers, and enterprise ISVs to solve local end-to-end agentic AI GPU deployment challenges on NVIDIA RTX and DGX.
- Conduct hands-on trainings, develop sample code, and present technical guidance for efficient agentic AI deployment.
- Improve LLM and GenAI user experience by developing feature and performance enhancements for open-source projects such as GGML, Llama.cpp, Ollama, vLLM, and ONNX Runtime.
- Collaborate with GPU driver, architecture, and research teams to provide feedback on partner and customer needs.
- Provide technical leadership and mentorship to junior engineers.
What you'll need
- 5+ years of professional experience in local GPU deployment, profiling, and optimization.
- Bachelor's or Master's degree (or equivalent experience) in Computer Science, Engineering, or a related field.
- Proficiency in C/C++, Python, software design, and programming techniques.
- Development experience across Windows and Linux environments.
- Hands-on experience with CUDA and the NVIDIA Nsight GPU profiling and debugging suite.
- Willingness to travel for conferences and on-site partner visits.
Skills: agentic AI, GPU deployment, CUDA, TensorRT-RTX, LLM & GenAI
More semiconductor jobs: NVIDIA jobs · California jobs
This role has been open 100 days — well above the 66-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
111
|
Median days open
66 d
|
Category median salary (all employers)
$201k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (111 roles · 30 employers) |
|---|---|---|
| Open roles in this specialty | 19 | 111 |
| Open roles in the wider Software, Firmware & Systems family | 1117 | 6361 · 144 employers |
| Median days open | 68 d | 66 d (+2 d vs this employer) |
| Median salary (USD postings) | — | $201k |
Skills observed across this category: agentic AI, GPU deployment, CUDA, TensorRT-RTX, LLM & GenAI
Who's hiring in this category
- Qualcomm · 22 open roles · median 53 d
- NVIDIA (this employer) · 17 open roles · median 66 d
- Graphcore · 8 open roles · median 127 d
- Intel Corporation · 7 open roles · median 30 d
- AMD · 6 open roles · median 33 d
- Micron Technology · 6 open roles · median 54 d
How we counted: 111 open Infrastructure/Platform Software (AI ML Hardware) roles from 30 employers tracked in the SemiconductorJobs index, counted 31 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.