Ai Engineer Jobs

About The Position

Requirements

• BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field
• 5+ years of relevant experience for Senior level consideration; significantly more experience with broader technical leadership and impact for Principal level consideration
• Hands-on experience applying AI/ML, LLMs, or advanced automation techniques to real engineering problems
• Strong programming skills in Python, experience developing maintainable technical software or automation solutions, familiarity with LLMs, prompt engineering, AI-assisted workflows and/or agent-based automation concepts.
• Knowledge of CMOS design, custom layout, circuit verification, and semiconductor design fundamentals

Nice To Haves

• Experience with custom memory design, including DDR, LPDDR, HBM, or NAND, physical verification flows such as Calibre DRC, LVS, or LPE.
• Experience with Cadence Virtuoso, SKILL programming, parameterized cells, or custom design environments
• Experience with circuit simulation tools such as HSPICE or Spectre , and familiarity with digital verification concepts
• Experience building developer tools, command-line utilities, workflow integrations, or plugin-based tooling, familiarity with machine learning frameworks such as PyTorch or Scikit-learn
• Experience integrating LLM APIs or related AI capabilities into engineering tools and workflows, working in Linux-based development with current software engineering practices.

Responsibilities

• Design, develop, and deploy software, automation, and AI-assisted solutions that improve IC design workflows across layout, verification, simulation, and tape-out activities
• Develop and enhance AI-assisted tools, agents, and automation that improve engineering productivity and design team efficiency
• Collaborate with worldwide design, layout, verification, and CAD teams to identify high-impact use cases for automation and AI enablement
• Build and maintain CAD tools, workflow integrations, and supporting technical content for design teams
• Support evaluation, qualification, deployment, and integration of EDA tools and AI-enhanced workflows
• Explore and apply generative AI and machine learning techniques to practical custom IC design and design enablement challenges
• Contribute to scalable software development practices, including code quality, testing, maintainability, and documentation

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays