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Senior Edge Compute Engineer — NVIDIA Orin & AI Inference

Loft Orbital

Toulouse

Sur place

EUR 45 000 - 65 000

Plein temps

Il y a 30+ jours

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Résumé du poste

A pioneering aerospace company in Toulouse is seeking an embedded systems engineer to develop and optimize the Ultimate Edge SDK with a focus on NVIDIA Orin-based systems. This role involves integrating AI frameworks, optimizing runtime environments, and contributing to flight software robustness. Candidates should have a Master's background, solid experience in C++/Python, and familiarity with Linux environments. Competitive compensation and benefits are offered.

Prestations

Equity
Up to 35 days of Paid Time Off
Health and life insurance
Lunch Vouchers
Cross-office travel opportunities
Company off-sites
Relocation assistance to Toulouse

Qualifications

  • 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.).
  • Strong experience with containerization technologies.

Responsabilités

  • Integrate and optimize runtime components within the Ultimate Edge SDK.
  • Develop, configure, and tune GPU-accelerated pipelines on NVIDIA hardware.
  • Benchmark and profile workloads to assess performance and resource usage.
  • Support application deployment in real-time, embedded environments.

Connaissances

C++
Python
Embedded systems knowledge
Communication in English

Formation

Master's degree in embedded systems, computer engineering, AI/ML, or software engineering

Outils

Docker
Kubernetes
Linux-based environments
NVIDIA ecosystem (CUDA, Orin, Jetson)
Description du poste
A pioneering aerospace company in Toulouse is seeking an embedded systems engineer to develop and optimize the Ultimate Edge SDK with a focus on NVIDIA Orin-based systems. This role involves integrating AI frameworks, optimizing runtime environments, and contributing to flight software robustness. Candidates should have a Master's background, solid experience in C++/Python, and familiarity with Linux environments. Competitive compensation and benefits are offered.
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