ML Runtime Engineer

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 we love food!
• 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

Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren’t afraid to challenge assumptions. We strongly encourage you to apply, even if you don’t check all the boxes.