Staff AI/ML Engineer - Edge AI System
Tasks
- Analyze time-series sensor data
- Architect scalable AI/ML systems
- Assess data assets and deployment requirements
- Build proof-of-concepts and pilot systems
- Contribute to AI ML community workshops and publications
- Deliver reference designs for real time applications
- Deploy configure and operate hardware tooling
- Develop surrogate models for device system simulations
- Explore agentic AI approaches for system optimization and planning
- Mentor engineers and establish best practices
- Optimize models for latency throughput cost and power efficiency
- Optimize real-time performance
- Partition workloads on edge device architecture
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Artificial Intelligence | Control Systems | Data Analysis | Data Processing | Hardware modeling | Latency optimization | MATLAB | Machine Learning | Model Optimization | Physics-based data analysis | Power Optimization | Real Time | Real-time Systems | SPICE | Signal Processing | Simulation | Statistical Signal Processing | Streaming Data | Streaming data processing | Surrogate modeling | Throughput Optimization | Time Series | Time Series Data | Time Series Data Processing | Time Systems | Verilog
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Staff AI & ML Engineer
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