Staff CV Applied Research Engineer, Edge AI
Tasks
- Architect, train, and deploy transformer-based vision models
- Collaborate with embedded/firmware teams for deployment
- Define evaluation strategies for outdoor edge deployment
- Lead end-to-end development of edge ML models
- Optimize models for resource-constrained embedded devices
- Perform failure analysis and robustness improvements
- Profile and improve runtime performance
- Set technical standards and mentor engineers
- Translate product requirements into model targets
Perks/Benefits
Skills/Tech-stack
ARM NEON | Active Learning | C++ | CNN | Compression | Computer Vision | DETR | DSP | Deep learning | Distillation | Edge AI | Embedded inference | Kernel tuning | Mixed Precision | Model Deployment | Model Optimization | Model profiling | NPU | ONNX | PTQ | Pruning | PyTorch | Python | QAT | Resource-aware design | TFLite | Telemetry feedback | TensorFlow | TensorRT | Transformer Models | VITS | Video pipelines
Education
Bachelor's | Master's | PhD
Regions
Countries
States
Cities
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