Designing and implementing AI/LLM-powered systems to improve automation, design verification, and workflow efficiency
Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization
Developing and fine-tuning large language models tailored to semiconductor design and productivity applications
Evaluating new frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization
Tracking and measuring AI impact using data-driven metrics to continuously refine solutions

Requirements

MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
8+ years of development experience, with at least 4 years focused on AI/ML, LLMs, or generative AI
Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Proven track record of deploying scalable AI/ML models in production
Ability to balance multiple simultaneous projects

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AILLMautomationdesign verificationworkflow efficiencyPythondeep learningPyTorchTensorFlowAI/ML

Soft Skills

collaborationperformance optimizationproject managementdata-driven decision making

Certifications

MS in Computer ScienceMS in Electrical Engineering