AI Software Staff Engineer

Description
AI Software Staff Engineer

Location:

Campbell, CAArteris connects innovation.

Our technology helps the world’s most visionary companies—from startups to Fortune 500 leaders—build smarter, faster semiconductors, specifically SoCs and chiplets. From the car you drive, to the AI in the cloud, Arteris connects the innovative tech that shapes tomorrow.

What You’ll Do as a AI Siftware Staff Engineer at Arteris 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.

You will collaborate with our research and development team who develop cutting edge applications of AI towards security solutions, with the objective of transforming these solutions into robust, reliable, production-ready applications and services.

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.

Key Responsibilities 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.

What You Bring5+ years of professional software engineering experience, with strong programming and software development skills.

Strong experience with technologies such as Lang Graph, 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 of software security concepts, networking, authentication, authorization, and production deployment…