ML Runtime Engineer

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: Equity, we want you to have an active role in our success Up to 35 days of Paid Time Off (vacations & RTT ) and flexible working hours, we want you to be at your best Health and life insurance, we care about your health Lunch Vouchers, because let’s be honest, we love food! (we even have a slack channel about it #loft-gourmand) Cross-office travel opportunities between San Francisco, Colorado, and Toulouse to learn from our differences Company and team off-sites and many other events to work & celebrate together Relocation assistance to Toulouse when applicable