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Senior Software Engineer

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Onsite

Senior Software Engineer

Outsight

Senior Software Engineer

Skills

DockerPythonAILinuxKubernetes

24 days ago

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Important information


Location:

Paris, France

Work mode:

Onsite

Published on:

7 October 2026

What they need


Who you are

  • Experience: 5+ years of experience in software engineering with a focus on C++ and high-performance systems
  • C++ & Python: Strong command of C++ and Python
  • Linux & Workstation: Deep knowledge of Linux environments. Workstation choice: MacBook (macOS) or Ubuntu Linux
  • Cloud & Infrastructure: Working knowledge and interest in Kubernetes (K8s), Docker, and cloud managed services
  • Cross-Team Collaboration: Ability to collaborate effectively with both technical and non-technical teams across the company
  • AI Enthusiast: Interest in AI Engineering (LLMs, prompt engineering, Claude/OpenAI APIs)

What the job involves

  • As a Senior Software Engineer, you will join our core Perception Team
  • Your mission is to build, optimize, and scale the real-time software engine that processes high-throughput 3D LiDAR data
  • You will work closely with the Algo Team on perception algorithms, while collaborating across technical and non-technical teams across the company to build production-ready software
  • We are looking for a senior engineer proficient in C++ and Python, with solid knowledge and an appetite for Cloud Infrastructure, Kubernetes, and Managed Services, and interested in leveraging modern AI engineering (LLMs/Claude)
  • Software Engineering & Collaboration: Work directly with the Algo Team on perception logic and collaborate across technical and non-technical teams in the company to deliver production-ready software
  • Cloud & Infrastructure: Interface, deploy, and scale perception pipelines using Kubernetes (K8s) and cloud managed services
  • Performance Optimization: Profile memory, CPU utilization, and execution paths across edge devices and containerized environments
  • Tooling & Automation: Develop internal tools, scripts, and test harnesses using Python
  • AI Engineering Integration: Integrate GenAI capabilities (Claude, LLMs, AI agents) to optimize developer workflows and testing
  • Technical Ownership: Drive technical topics autonomously from architectural discussions to production deployment

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