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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Staff Engineer - **Company:** ARTERIS, INC. - **Location:** Campbell, CA, United States - **Experience:** Experienced - **Salary:** $165,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Programming, Databases, Computer Engineering, Continuous Integration, Data Structures, Distributed Systems, Hardware Security Module, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Architecture, Software Deployment, Software Engineering, Software Systems, System on a Chip, Systems Integration, Data Logging, Chatbots, Retrieval-Augmented Generation, Large Language Models, Software Security, Backend, Agentic-AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Production Code, Restful APIs, GPT, Data Pipelines, Docker, Programming Languages - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e623d3b10d73a9f5 ## About the Role * 5+ years of professional software engineering experience, with strong programming and software development skills. * 3+ years experience contributing to EDA tooling or working within semiconductor engineering environments. * 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. * Experience deploying software in cloud or on-premises environments. * Understanding software security concepts, networking, authentication, authorization, and production deployment practices. * Good understanding of software architecture, data structures, algorithms, and object-oriented design. * Ability to understand and work within complex technical domains, including hardware and semiconductor technologies, with practical knowledge of EDA tooling or semiconductor design workflows. * Ability to collaborate effectively with AI/ML specialists and transform experimental prototypes into robust software solutions. Bonus Points If You 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. * Experience with commercial EDA platforms. * Experience or background in hardware security. Education Requirements * Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical field required. * Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline preferred. ## Description Join our innovative team and help shape the future of semiconductor technology, specifically system-on-chip (SoC) and chiplets. In this role, you will contribute to [insert a high-level purpose or function of the role], collaborating with cross-functional teams to drive impact across cutting-edge products and solutions. You will work at the intersection of software engineering, AI application development, and deployment infrastructure, within a technology environment focused on EDA, security, semiconductors, and SoC design., This is not primarily an AI research or model-development role. We are looking for a Software Engineer with a strong understanding of AI technologies who can build the systems required to bring them into production. You will work with applications based on LLMs, chatbots, RAG systems, AI assistants, and AI agents, while addressing the technical challenges involved in their application, integration and deployment., * 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. * Work with containerized and distributed environments and contribute to deployment automation and CI/CD pipelines. * Address production engineering requirements including security, networking, authentication, authorization, monitoring, logging, observability, and resource management. * Collaborate with Software, Infrastructure, Hardware, and Application teams to integrate AI capabilities into existing EDA, security, semiconductor, and SoC design workflows. * Investigate and resolve production issues related to AI services, applications, deployment, performance, and integration. * Contribute to software architecture and make pragmatic technical decisions that balance development speed, reliability, scalability, and maintainability. * Write high-quality, maintainable, well-tested production code and contribute to engineering best practices.