Applied AI Engineer
Tasks
- Build data systems to measure AI impact
- Characterize silicon systems and workflows
- Debug hardware software system issues
- Deploy monitor and debug AI and machine learning models
- Design and deploy LLM powered validation pipelines
- Evaluate emerging AI frameworks and architectures
- Integrate AI solutions across engineering teams
- Translate AI research into production tools
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | Autogen | Backend Services | Bring-up | C# | C++ | Cause analysis | Chip Bring Up | Computer Architecture | CrewAI | Data Intensive Backend Services | Data-intensive | Debugging | Deep learning | Driver Development | Firmware | Java | LLM | Langchain | Language Processing | Logic analyzer | Machine Learning | Monitoring | Multimeter | N8n | NEMO | Natural Language | Natural Language Processing | Orchestration | Oscilloscope | PyTorch | Python | Root Cause Analysis | Root cause | Scala | Semantic Kernel | Silicon characterization | TensorFlow
Education
Roles
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