Applied AI Engineer
Tasks
- Architect AI validation pipelines
- Build data systems for continuous improvement
- Debug system level issues with HW SW interaction
- Deploy AI systems for post silicon validation
- Deploy orchestration agents for LLM workflows
- Drive root cause analysis for silicon issues
- Evaluate emerging AI frameworks and architectures
- Integrate AI solutions with engineering workflows
- Measure AI impact with quantitative indicators
- Translate AI research into production tools
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Autogen | Chip Characterization | Computer Architecture | CrewAI | Device Drivers | Firmware | High speed | High speed interfaces | Langchain | Language Models | Large Language Models | Logic Analyzers | Logic debugging | Machine Learning | Multimeters | N8n | NEMO | Oscilloscopes | Power analysis | Process variation | PyTorch | Python | Semantic Kernel | Statistical Analysis | System characterization | TensorFlow | Timing Analysis
Education
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