ML Runtime Engineer
Loftorbital has an opening for a ML Runtime Engineer in Toulouse, Occitanie, France. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Loftorbital has an opening for a ML Runtime Engineer in Toulouse, Occitanie, France. It is listed as a full-time position.
Skills and tools named in the text include Python, C++, CI/CD and machine learning.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
Benefits mentioned in the advert: paid time off, relocation support and flexible hours.
The advert does not mention visa sponsorship. If you would move to France for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 9, 2026.
- Employer
- Loftorbital
- Location
- Toulouse, Occitanie, France
- Job type
- Full-time
- Pay
- Not stated by the employer
- Found
- Nov 9, 2026 on Arbeitnow
- Employer text
- 681 words, about 3 min to read
- Apply only on the official page (arbeitnow.fr). Dev Global Jobs is not the employer and never asks for a fee.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
- Talent Passport: Qualified employees, researchers, artists, investors; multi-year permit
- Employee (salarié) visa: Employer work authorisation from the labour office
- Temporary worker visa: Contracts under 12 months
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
As our ML Runtime Engineer, you'll own model compilation and the performance tooling behind it. We're looking for someone scrappy, the kind of engineer who takes an unfamiliar model and an unforgiving power budget, digs into the graph, and gets it running on real hardware without waiting for the path to be handed to them. You'll move between model compilation, runtime internals, quantization, and hardware-in-the-loop CI, sometimes in the same afternoon. 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
- 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
- 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
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