Senior Applied AI Engineer - CA, Santa Clara, United States
$152,000 - $241,500 USD yearly
Originally posted 14 September 2026 by the employer.
About the role
This role involves building intelligent software systems to improve engineering productivity and software quality at scale. You will develop AI-powered workflows and services that help teams analyze complex code changes and surface signals from large engineering datasets.
What you'll do
- Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows.
- Develop intelligent workflows for analyzing large codebases, code changes, and engineering signals.
- Build and maintain production services and infrastructure for AI-enabled applications, including orchestration, retrieval, evaluation, and monitoring.
- Partner with software engineers and multi-functional teams to translate workflow problems into practical AI solutions.
- Evaluate emerging models, frameworks, and tooling to improve quality, latency, reliability, and cost across AI systems.
- Drive projects from early concept through production deployment and continuous improvement.
What you'll need
- 5+ years of proven experience in a related field.
- B.S. or higher degree (or equivalent experience) in Computer Science/Engineering.
- Strong software engineering fundamentals with excellent Python skills.
- Hands-on experience building and deploying AI or ML systems, data-intensive backend services, or intelligent automation workflows.
- Experience with LLM-based applications, retrieval-augmented generation, agentic workflows, or orchestration frameworks.
- Strong familiarity with Git-based development workflows, including commits, branches, diffs, and large multi-repository codebases.
- Track record of solving complex technical problems and working effectively across teams.
Skills: AI-powered workflows, engineering datasets, LLM-based applications, production services, developer productivity
This role has been open 30 days — well below the 51-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
164
|
Median days open
51 d
|
Median salary
$191k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (164 roles · 44 employers) |
|---|---|---|
| Open roles in this specialty | 27 | 164 |
| Open roles in the wider Software, Firmware & Systems family | 993 | 6149 · 145 employers |
| Median days open | 213 d | 51 d (+162 d vs this employer) |
| Median salary (USD postings) | — | $191k |
Skills observed across this category: AI-powered workflows, engineering datasets, LLM-based applications, production services, developer productivity
Who's hiring in this category
- Micron Technology · 28 open roles · median 34 d
- NVIDIA (this employer) · 26 open roles · median 189 d
- Qualcomm · 22 open roles · median 189 d
- Infineon Technologies · 10 open roles · median 43 d
- AMD · 8 open roles · median 65 d
- Applied Materials · 4 open roles · median 85 d
How we counted: 164 open Software Engineering Semiconductor (AI ML Hardware) roles from 44 employers tracked in the SemiconductorJobs index, counted 15 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.