Internship Offer

il y a 17 heures

Toulouse, Occitanie, France Loft Orbital Solutions Temps plein
Wanna join the adventure?
The Deployment & Runtime Environment team at Loft is looking for a motivated intern to help build the next generation of onboard computing infrastructure. As our spacecraft increasingly rely on heterogeneous compute platforms - supporting workloads such as machine-learning inference, image processing, and real-time data handling - we need robust runtime environments capable of delivering reliable performance across diverse embedded hardware. This is where you come in
What will you do? You will contribute to the development, integration, and optimization of Loft's Ultimate Edge SDK, which provides unified compute capabilities across various embedded platforms. Your primary focus will be on NVIDIA Orin-based systems, while also assessing portability and performance on additional hardware targets. Your work will directly contribute to flight software robustness, system performance, and future onboard computing capabilities for Loft missions.
Location: Toulouse office.
Timeline: 26 February → 26 August (final-year internship, 6 months). About the Role:
  • Integrating ONNX-based inference runtimes and image-processing frameworks (e.g., ONNX Runtime, OpenCV) into Loft's SDK.
  • Configuring and optimizing GPU-accelerated and heterogeneous runtime environments, ensuring efficient use of available resources.
  • Profiling, benchmarking, and performance tuning across multiple embedded platforms.
  • Collaborating with other teams in Loft to ensure smooth deployment of edge applications.
  • Supporting the continuous improvement of Loft's onboard compute stack through structured testing, documentation, and validation.
Must-haves:
  • Master-level background in embedded systems, computer engineering, AI/ML, or software engineering.
  • Solid experience with C++ and/or Python.
  • Familiarity with Linux-based embedded environments.
  • Understanding of ML inference frameworks (ONNX Runtime, TensorRT, etc.).
  • English communication skills (written & verbal) for international collaboration.
Nice to haves:
  • Experience with the NVIDIA ecosystem: CUDA, Orin, Jetson platforms.
  • Knowledge of heterogeneous compute environments and optimization.
  • Exposure to runtime systems, GPU scheduling, or edge computing.
  • Interest in space technologies and autonomous onboard processing.
What can we offer?
You will join an international team at the forefront of embedded and space computing. You'll work with modern development practices (C++/Python, Git, CI/CD), advanced embedded platforms (NVIDIA Orin, CUDA), and real mission constraints. You will benefit from mentorship from engineers experienced in runtime systems, GPU programming, and onboard compute architectures.
Challenge: As part of the interview, you may be asked to complete a small coding task to showcase your debugging, optimization, and problem-solving approach.
 *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.

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