Skip to content

Flight Software

ML Runtime Engineer

Loft Orbital logoLoft Orbital~$172k–$245k/yrtypicalToulouse, OccitanieFull timePosted 4mo ago

About the job

## 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. ## 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 * 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. ## Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit.

We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months.

With more than 30 missions flown, Loft’s flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France to meet accelerating demand for space infrastructure.

As an international company your resume will be reviewed by people across our offices so please attach a copy in English.

From Loft Orbital's job posting, checked 7 Nov 2026. The employer's own page is the final word on requirements and availability.

Selected agencies hiring now

These agencies and apps pay SpaceJobs.Now a referral fee when someone we introduce is placed or signs up. It costs you nothing and never changes your pay. Employers' own jobs below keep their own order.

Sponsored

Sponsored jobs from job networks, which pay SpaceJobs.Now when you click one.

Free tools for this application: check your resume against this job, answer the application's questions or see every free tool.

New flight software and GNC jobs, by email

One email a week with the newest ones, straight from the employers' own careers sites, with the pay each posting states. Free, stop anytime.

About Loft Orbital

Space infrastructure that lets any organization fly a mission.

Pay on its listings: 61.3% of its open jobs state an hourly rate

How it pays: Paid as an employee on Loft Orbital's own payroll (salaried or hourly, as each posting states).

More open jobs at Loft Orbital

More flight software and GNC jobs

Written flight software or GNC?

One profile for every employer here. Space companies and their recruiters ask us for people with a specific degree, clearance, specialty or location: add yours once, and when a job fits, we introduce you, only with your yes. Free.

Create my profile

Loft Orbital openings, sent to you weekly

Each week we send the newest postings from Loft Orbital's own careers site, along with similar openings at other space employers. It costs nothing and you can stop anytime.