AI Software Staff Engineer - Campbell, California, United States
$165,000 - $190,000 USD yearly
Originally posted 12 October 2026 by the employer.
Arteris connects innovation in system-on-chip (SoC) and chiplets.
About the role
This role is for an AI Software Staff Engineer at Arteris, focused on building production-ready AI systems within a technology environment centered on EDA, security, semiconductors, and SoC design. You will work with applications based on LLMs, chatbots, RAG systems, AI assistants, and AI agents.
What you'll do
- Turn AI/ML and LLM proof-of-concepts into production-grade software applications and services.
- Design, develop, and maintain software components surrounding AI models, including APIs, backend services, data pipelines, integrations, and user-facing applications.
- Develop and deploy LLM-powered applications, including chatbots, RAG systems, AI assistants, and agent-based applications.
- Integrate existing AI/ML models and services into broader software products and workflows.
- Deploy AI applications in cloud and/or on-premises environments, ensuring scalability, reliability, performance, and maintainability.
- Contribute to software architecture and make technical decisions that balance development speed, reliability, scalability, and maintainability.
What you'll need
- 5+ years of professional software engineering experience, with strong programming and software development skills.
- Strong experience with technologies such as LangGraph, Docker, Kubernetes, CI/CD, REST/gRPC APIs, databases, monitoring, and logging.
- Strong experience with Python, C++, or similar programming languages.
- Experience using AI/ML models as part of software applications.
- Experience developing production-quality software, APIs, backend services, or distributed applications.
- Understanding of software security concepts, networking, authentication, authorization, and production deployment practices.
- Understanding of software architecture, data structures, algorithms, and object-oriented design.
Nice to have
- Experience bringing an AI or LLM proof-of-concept into production.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with LLM frameworks, vector databases, RAG architectures, or agentic systems.
- Experience with semiconductor IP, interconnects, or Network-on-Chip (NoC) technologies.
- Previous experience in EDA or semiconductor environments.
- Experience or background in hardware security.
Skills: AI/ML production-grade software, LLM-powered applications, EDA, security, semiconductors, deployment infrastructure, software architecture
This role has been open 0 days — well below the 46-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
106
|
Median days open
46 d
|
Median salary
$183k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Arteris | All employers we track in this specialty (106 roles · 30 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 106 |
| Open roles in the wider Software, Firmware & Systems family | 4 | 6164 · 146 employers |
| Median days open | 0 d | 46 d (−46 d vs this employer) |
| Median salary (USD postings) | — | $183k |
Skills observed across this category: AI/ML production-grade software, LLM-powered applications, EDA, security, semiconductors, deployment infrastructure, software architecture
Who's hiring in this category
- Micron Technology · 15 open roles · median 37 d
- Applied Materials · 12 open roles · median 53 d
- KLA Corporation · 11 open roles · median 40 d
- Cadence Design Systems · 8 open roles · median 28 d
- Lam Research · 8 open roles · median 18 d
- NVIDIA · 7 open roles · median 160 d
How we counted: 106 open Software Engineering Semiconductor (AI EDA Design) roles from 30 employers tracked in the SemiconductorJobs index, counted 14 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.