Senior AI Application Developer - GPU and SOC Architecture Modeling - CA, Santa Clara, United States
$152,000 - $287,500 USD yearly
Originally posted 21 June 2026 by the employer.
About the role
As part of the NVIDIA Architecture Modeling group, you will develop and enable GenAI applications integrated with simulation platforms and GPU and SOC architecture team workflows.
What you'll do
- Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity. - Use AI tools and techniques to support GPU/SOC Architecture modeling. - Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. - Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. - Research emerging AI technologies and engineering best practices to continuously evolve the development ecosystem.
What you'll need
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas. - Proficiency in C++, Python, and ML frameworks like LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools. - Hands-on experience with LLMs (e.g., GPT, Claude, Llama) and multimodal models. - Track record of problem-solving and debugging skills, driving issues to closure.
Nice to have
- Background in Computer Architecture with experience in modeling.
Skills: GenAI applications, GPU/SOC Architecture, LLMs, ML frameworks, simulation platform
This role has been open 122 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
85 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 89 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 997 | 6290 · 144 employers |
| Median days open | 55 d | 85 d (−30 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: GenAI applications, GPU/SOC Architecture, LLMs, ML frameworks, simulation platform
Who's hiring in this category
- Qualcomm · 104 open roles · median 114 d
- NVIDIA (this employer) · 89 open roles · median 56 d
- AMD · 38 open roles · median 96 d
- Micron Technology · 27 open roles · median 58 d
- Mobileye · 20 open roles · median 83 d
- Analog Devices · 18 open roles · median 41 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 23 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.