Principal Embedded Software Engineer

il y a 7 jours


Paris, Île-de-France European Tech Recruit Temps plein

We are seeking an experienced Principal Engineer to lead embedded AI software development for network devices.

This role focuses on core system development, AI-driven security solutions, and architecture design while collaborating with cross-functional teams to drive innovation in network security and performance optimization.

Responsibilities

  • Embedded System Development : Design and optimize embedded software for network devices, including time-series databases, stream processing engines, correlation analysis engines, graph databases, and AI inference engines.
  • Data Governance & Analytics : Develop frameworks for managing network device data (e.g., traffic logs, security events, RF data) with efficient storage, querying, and real-time analytics.
  • Performance Optimization : Identify and resolve performance bottlenecks in high-concurrency, low-latency scenarios.
  • Security AI Solutions : Design data pipelines for security applications (NGFW, HIPS, IPS, EDR), collaborating with AI teams to enhance inference efficiency.
  • Architecture & Roadmap Development : Define system architectures, create modular solutions, and establish technology evolution roadmaps.
  • Cross-Team Collaboration : Work closely with product, algorithm, and testing teams to align solutions with business objectives and ensure high-quality project execution.

Requirements

  • Education & Experience:
  • Master's degree or higher in Computer Science.
  • 10+ years of C development experience.
  • 6+ years in network device development.
  • 5+ years in architecture design.
  • Strong background in firewall, router, and switch development.
  • Experience designing and optimizing time-series databases (InfluxDB, TimescaleDB, or custom solutions).
  • Knowledge of embedded AI data processing, including collection, cleansing, feature extraction, and inference.
  • Understanding of security technologies like NGFW, IDS, and IPS.
  • Ability to translate business needs into scalable architectures.
  • Strong cross-functional collaboration and problem-solving skills.
  • Results-oriented with a proactive approach to meeting deadlines.
  • Deep interest in AI-driven cybersecurity solutions.
  • Experience with cybersecurity vendors and endpoint protection solutions.
  • Familiarity with AI model deployment and inference engine optimization (PyTorch/TensorFlow).
  • Contributions to open-source projects or research publications in security conferences.

This is an exciting opportunity to work on cutting-edge AI and security solutions for next-generation network devices.

If you're passionate about innovation in cybersecurity and AI, apply now or email



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