Loft Orbital
From Loft Orbital's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
As our ML Runtime Engineer, you'll own model compilation and the performance tooling behind it.
Wanna join the adventure?
Loft's AI for Space group is building the stack that runs real machine learning in orbit; turning raw sensor data into decisions on the satellite itself, so insight reaches the customer in minutes instead of hours. The AI Engineering team is where models meet the spacecraft. We own the full path from a partner's trained model to something that actually runs — fast — on flight hardware: compiling ONNX models into optimized engines for each accelerator, the Space Inference Engine and its execution providers, the SDK that packages models for flight, and the perf tooling that proves a model fits its power, thermal, and latency budget before it ever leaves the ground. As we open the platform to a growing roster of defense and Earth-observation partners, the team's scope and the range of silicon we target are expanding fast.
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.
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
Model compilation: TensorRT (and/or equivalent graph compilers)
ONNX Runtime, quantization & inference perf optimization
Embedded / edge GPU deployment (NVIDIA Jetson)
Benchmarking & profiling / perf tooling
Writing custom kernels / operator plugins
Remote sensing / large-image handling
RF / IQ signal data exposure
Meson build, Yocto / minimal Debian images
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
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Hi [Name], I just applied for the ML Runtime Engineer role at Loft Orbital. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
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