Job Description:
We are seeking a contract engineer to accelerate development of AI-powered engineering productivity solutions for silicon IP and SoC development. The successful candidate will work directly with engineering leadership to design, implement, and deploy AI skills, agents, workflow automations, and knowledge systems that improve engineering efficiency across design, verification, integration, and project execution.
This is an applied engineering role focused on building practical solutions rather than conducting AI research.
Responsibilities Develop AI agents and skills that automate multi-step engineering workflows.
Build retrieval-augmented generation (RAG) systems for engineering knowledge, specifications, design documentation, test plans, and project data.
Create workflow automations that connect engineering tools, repositories, documentation systems, and reporting environments.
Design and implement copilots, assistants, and agentic workflows for: specification analysis
test-plan review
coverage analysis
code review
debug assistance
project tracking
engineering reporting
Build proof-of-concept solutions and mature them into reusable assets.
Evaluate emerging AI models, frameworks, orchestration techniques, and agent architectures.
Develop metrics and dashboards demonstrating engineering productivity improvements.
Work closely with design, DV, program management, and CAD teams to identify high-value automation opportunities.
Required Qualifications BS/MS in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.
Understanding of RTL design, DV, simulation, regression, coverage, or SoC development workflows.
Demonstrated experience building AI applications beyond prompt engineering.
Experience creating at least one production-quality: AI agent
AI skill/plugin
workflow automation
MCP-based solution
agent orchestration system
Strong Python development experience.
Experience with APIs, automation frameworks, and software integration.
Working knowledge of: LLMs
RAG architectures
vector databases
agent frameworks
prompt/context engineering
Ability to independently decompose ambiguous problems and deliver working solutions.
Strongly Preferred Semiconductor industry experience.
Experience integrating AI solutions with: GitHub
Perforce
Confluence
SharePoint
Jira
Teams
engineering databases
Experience building AI solutions that operate on proprietary engineering documentation and source repositories.
Familiarity with secure enterprise AI deployments.