The RoleSpecter is hiring a perception AI engineer responsible for turning sensor data pipelines into actionable insights for our customers.
Responsibilities:- Implementing and deploying a variety of deep-learning based vision, vision-language, and large language models to our world-class distributed perception system
- Building and scaling a production-grade data-collection, labelling, and model re-training platform
- Driving the design behind a multimodal software user interface
Qualifications:- 5+ years of experience training, implementing, and deploying deep-learning based computer vision models in tasks such as object detection, semantic segmentation, object tracking, etc. (both single and multi-frame) in frameworks such as PyTorch, TensorRT, and ONNX
- Experience fine-tuning, implementing, and deploying vision-language models and large language models in frameworks such as PyTorch, TensorRT-LLM, and ONNX
- Experience optimizing model runtimes utilizing techniques such as quantization, pruning, low-rank adaptation, etc. where appropriate
- Experience building production-grade RAG pipelines, and scaling vector databases in production
- Strong experience in C++/Rust development in embedded systems and knowledge of Linux fundamentals
- Strong knowledge of CUDA fundamentals
- Experience with image/video processing, filtering, and enhancement. Knowledge of various video codecs desirable.
- Experience with variety of sensor types such as EO and IR cameras
- Familiarity with Rust (or ability to come up the curve quickly!)
