Applied AI Engineer
Tasks
- Architect AI agent workflows end to end
- Build data systems for impact measurement
- Define quantitative AI performance indicators
- Deploy AI systems for post silicon validation
- Design LLM powered validation pipelines
- Drive continuous improvement through iteration
- Evaluate AI frameworks and architectures
- Integrate AI solutions across engineering teams
Perks/Benefits
Skills/Tech-stack
ATE | Autogen | Board Level Test | Bring-up | C# | C++ | Chip Characterization | Computer Architecture | CrewAI | DPPM | Deep learning | Device Drivers | Escape Rate | FPY | Firmware | High speed | High speed interfaces | Java | LLM orchestration | Langchain | Language Models | Large Language Models | Machine Learning | N8n | Nemo Agent Toolkit | Post-silicon | Post-silicon bring-up | Power Management | PyTorch | Python | RAS | Reliability Engineering | Scala | Semantic Kernel | Silicon bring-up | Silicon debug | System characterization | System validation | TTR | TensorFlow | Test automation | Timing | Yield analysis
Education
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