Applied AI Engineer
Tasks
- Build AI agent and workflow systems end to end
- Build data systems to measure AI impact
- Design and deploy LLM powered validation pipelines
- Drive continuous improvement through iteration
- Evaluate and adopt emerging AI frameworks and architectures
- Integrate AI solutions with cross team engineering workflows
- Support production test and silicon validation using AI
Perks/Benefits
- N/A
Skills/Tech-stack
ATE | Autogen | Board Level Test | C# | C++ | Chip Characterization | Computer Architecture | CrewAI | DPPM | Device Drivers | Escape Rate | FPY | FPY Rate | Firmware | Java | LLM | Langchain | N8n | NEMO | Production test | PyTorch | Python | RAS | SLT | Scala | Semantic Kernel | Silicon debug | System characterization | System validation | TTR | TensorFlow | Validation | Yield analysis
Education
Roles
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