Edge AI Engineer - Embedded Inference & Optimization

Prophesee; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Prophesee in Paris is seeking an Embedded AI engineer to design, adapt and optimize perception models for edge deployment on constrained hardware. You will bridge AI, software and embedded engineering to meet latency, memory and power targets.

You will develop C++ and Python tooling for benchmarking and deployment, profile pipelines, and translate models for runs on edge accelerators such as Jetson or CUDA-enabled devices.

Qualifications

• Embedded AI / model optimization with edge-centric workloads.
• Strong hands-on ML/DL optimization for constrained targets.
• Experience with PyTorch, TensorFlow and optimization workflows.
• Ability to profile latency, memory and power.
• Experience with C++/Python tooling for deployment.

Responsabilités

• Design, adapt and optimize AI models for embedded and edge deployment.
• Profile end-to-end inference pipelines for bottlenecks.
• Convert models for target runtimes and accelerators while preserving accuracy.
• Implement and evaluate quantization, pruning and other optimizations.
• Develop C++ and Python tooling for benchmarking, profiling and deployment.
• Contribute to software architecture around memory management and real-time constraints.
• Establish reproducible benchmarks and compare trade-offs across targets.
• Support deployment on edge AI targets.

Connaissances

Embedded AI

C++

Python

Performance profiling

Inference optimization

Embedded Linux

ARM

Git

Computer vision

Outils

PyTorch

TensorFlow

CUDA

TensorRT

NVIDIA Jetson

Description du poste

Prophesee in Paris is seeking an Embedded AI engineer to design, adapt and optimize perception models for edge deployment on constrained hardware. You will bridge AI, software and embedded engineering to meet latency, memory and power targets.

You will develop C++ and Python tooling for benchmarking and deployment, profile pipelines, and translate models for runs on edge accelerators such as Jetson or CUDA-enabled devices.