ML Runtime Engineer: Edge AI for Orbit (Equity)

Loft Orbital; Toulouse; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Equity

35 days PTO

Health and life insurance

Lunch vouchers

Cross-office travel: SF, CO, Toulouse

Team off-sites

Relocation assistance to Toulouse

Job summary

Loft Orbital is hiring an ML Runtime Engineer in Toulouse to turn partner ONNX models into hardware-optimized engines while balancing power and thermal budgets. You’ll work across graph compilation, runtime internals, and quantization, delivering end-to-end performance on flight hardware.

You’ll own benchmarking, profiling, and the budget validation process, collaborating with the Space Inference Engine, SDK, and the OBSW/Runtime team.

Qualifications

• Proficiency in C++ and Python for performance-focused development.
• Experience with model compilation for edge devices and accelerators.
• Strong knowledge of ONNX Runtime and related inference optimizations.
• Experience deploying ML on embedded GPUs (e.g., NVIDIA Jetson) and benchmarking.

Responsibilities

• Own model compilation: convert ONNX models into optimized engines per accelerator.
• Build the ground-side compile and delivery path, handling engine mismatch detection.
• Develop performance tooling: benchmarking, profiling, and budget validation.
• Contribute to Space Inference Engine, SDK, and collaborate with the Runtime team.

Skills

C++ & Python

TensorRT

ONNX Runtime

Embedded deployment

Perf tooling

CI/CD with HIL

Job description

Loft Orbital is hiring an ML Runtime Engineer in Toulouse to turn partner ONNX models into hardware-optimized engines while balancing power and thermal budgets. You’ll work across graph compilation, runtime internals, and quantization, delivering end-to-end performance on flight hardware.

You’ll own benchmarking, profiling, and the budget validation process, collaborating with the Space Inference Engine, SDK, and the OBSW/Runtime team.