
Posted 2 months ago
ML Runtime Engineer
ToulouseOn-siteFull-time
AI Summary
Owns compiling partner ONNX models into optimized engines for edge accelerators, builds the ground-side compile and delivery path, and creates performance tooling for model inference on embedded GPUs.
About this role
Wanna join the adventure?
About this role:
- Own model compilation: turn partner ONNX models into optimized engines per accelerator (TensorRT, Hailo, AMD/ROCm), within power & thermal budgets
- Build the ground-side compile & delivery path; define how a mismatched engine is detected/rejected on-node
- Build performance tooling: benchmarking, profiling, operator-coverage matrices, and budget validation
- Contribute to Space Inference Engine (execution providers) and the SDK (model build & packaging); coordinate the OBSW / Runtime team
Must Haves:
- Strong C++ and Python
- Model compilation: TensorRT (and/or equivalent graph compilers)
- ONNX Runtime, quantization & inference perf optimization
- Embedded / edge GPU deployment (NVIDIA Jetson)
- Benchmarking & profiling / perf tooling
- CI/CD incl. hardware-in-the-loop
Nice to Haves:
- Hailo SDK and/or AMD ROCm compilation (iX10)
- Writing custom kernels / operator plugins
- Remote sensing / large-image handling
- RF / IQ signal data exposure
- Meson build, Yocto / minimal Debian images
- Model-weight protection / secure execution
Some of Our Awesome Benefits:
Skills
BenchmarkingC++HailoNVIDIA JetsonONNXONNX RuntimeProfilingPythonROCmTensorRT
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